In [43]:
plt.figure(figsize=(20,10))
sns.heatmap(falcon_airline_data.corr(),annot=True)
plt.show()
import pandas as pd
import numpy as np
import seaborn as sns
sns.set(color_codes=True)
import matplotlib.pyplot as plt
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import cross_val_score
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import BaggingClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import AdaBoostClassifier, GradientBoostingClassifier
from xgboost import XGBClassifier
from sklearn.ensemble import StackingClassifier
from sklearn.impute import SimpleImputer
from sklearn import metrics
from sklearn.metrics import confusion_matrix
flight_data = pd.read_csv('Flight_data.csv')
survey_data = pd.read_csv('Survey_data.csv')
Unit of observation
flight_data.shape #Dataset is made up of 90917 obs and 9 variables
survey_data.shape #Dataset is made up of 90917 obs and 16 variables
#length of data is the same as the other but different variables
(90917, 16)
flight_data.info()
# CustomerID, Age,Flight_Distance,DepartureDelayin_Mins are recorded as Integer, Arrivaldelayin_Mins is seen as float
<class 'pandas.core.frame.DataFrame'> RangeIndex: 90917 entries, 0 to 90916 Data columns (total 9 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 CustomerID 90917 non-null int64 1 Gender 90917 non-null object 2 CustomerType 81818 non-null object 3 Age 90917 non-null int64 4 TypeTravel 81829 non-null object 5 Class 90917 non-null object 6 Flight_Distance 90917 non-null int64 7 DepartureDelayin_Mins 90917 non-null int64 8 ArrivalDelayin_Mins 90633 non-null float64 dtypes: float64(1), int64(4), object(4) memory usage: 6.2+ MB
survey_data.info()
# CustomerId is the only Integer,
<class 'pandas.core.frame.DataFrame'> RangeIndex: 90917 entries, 0 to 90916 Data columns (total 16 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 CustomerId 90917 non-null int64 1 Satisfaction 90917 non-null object 2 Seat_comfort 90917 non-null object 3 Departure.Arrival.time_convenient 82673 non-null object 4 Food_drink 82736 non-null object 5 Gate_location 90917 non-null object 6 Inflightwifi_service 90917 non-null object 7 Inflight_entertainment 90917 non-null object 8 Online_support 90917 non-null object 9 Ease_of_Onlinebooking 90917 non-null object 10 Onboard_service 83738 non-null object 11 Leg_room_service 90917 non-null object 12 Baggage_handling 90917 non-null object 13 Checkin_service 90917 non-null object 14 Cleanliness 90917 non-null object 15 Online_boarding 90917 non-null object dtypes: int64(1), object(15) memory usage: 11.1+ MB
survey_data.head()
| CustomerID | Satisfaction | Seat_comfort | Departure.Arrival.time_convenient | Food_drink | Gate_location | Inflightwifi_service | Inflight_entertainment | Online_support | Ease_of_Onlinebooking | Onboard_service | Leg_room_service | Baggage_handling | Checkin_service | Cleanliness | Online_boarding | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 149965 | satisfied | extremely poor | extremely poor | extremely poor | need improvement | need improvement | good | need improvement | acceptable | acceptable | extremely poor | acceptable | excellent | acceptable | need improvement |
| 1 | 149966 | satisfied | extremely poor | extremely poor | extremely poor | manageable | need improvement | extremely poor | need improvement | need improvement | NaN | acceptable | good | good | good | need improvement |
| 2 | 149967 | satisfied | extremely poor | NaN | extremely poor | manageable | acceptable | good | acceptable | poor | poor | extremely poor | poor | good | poor | acceptable |
| 3 | 149968 | satisfied | extremely poor | extremely poor | extremely poor | manageable | good | acceptable | good | need improvement | need improvement | extremely poor | need improvement | good | need improvement | excellent |
| 4 | 149969 | satisfied | extremely poor | extremely poor | extremely poor | manageable | need improvement | extremely poor | need improvement | need improvement | excellent | good | excellent | excellent | good | need improvement |
flight_data.head()
| CustomerID | Gender | CustomerType | Age | TypeTravel | Class | Flight_Distance | DepartureDelayin_Mins | ArrivalDelayin_Mins | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 149965 | Female | Loyal Customer | 65 | Personal Travel | Eco | 265 | 0 | 0.0 |
| 1 | 149966 | Female | Loyal Customer | 15 | Personal Travel | Eco | 2138 | 0 | 0.0 |
| 2 | 149967 | Female | Loyal Customer | 60 | Personal Travel | Eco | 623 | 0 | 0.0 |
| 3 | 149968 | Female | Loyal Customer | 70 | Personal Travel | Eco | 354 | 0 | 0.0 |
| 4 | 149969 | Male | Loyal Customer | 30 | NaN | Eco | 1894 | 0 | 0.0 |
flight_data.columns
Index(['CustomerID', 'Gender', 'CustomerType', 'Age', 'TypeTravel', 'Class',
'Flight_Distance', 'DepartureDelayin_Mins', 'ArrivalDelayin_Mins'],
dtype='object')
survey_data = survey_data.rename(columns={'CustomerId':'CustomerID'})
#renaming the Customerid column in survey data to CustomerID for an easy merge by=CustomerID
survey_data.columns
#to see if the column name changed
Index(['CustomerID', 'Satisfaction', 'Seat_comfort',
'Departure.Arrival.time_convenient', 'Food_drink', 'Gate_location',
'Inflightwifi_service', 'Inflight_entertainment', 'Online_support',
'Ease_of_Onlinebooking', 'Onboard_service', 'Leg_room_service',
'Baggage_handling', 'Checkin_service', 'Cleanliness',
'Online_boarding'],
dtype='object')
#merge datasets as one dataset
airline_data = pd.merge(flight_data,survey_data)
airline_data.shape
#new data is now 90917 observations and 24 variables
(90917, 24)
airline_data.columns
Index(['CustomerID', 'Gender', 'CustomerType', 'Age', 'TypeTravel', 'Class',
'Flight_Distance', 'DepartureDelayin_Mins', 'ArrivalDelayin_Mins',
'Satisfaction', 'Seat_comfort', 'Departure.Arrival.time_convenient',
'Food_drink', 'Gate_location', 'Inflightwifi_service',
'Inflight_entertainment', 'Online_support', 'Ease_of_Onlinebooking',
'Onboard_service', 'Leg_room_service', 'Baggage_handling',
'Checkin_service', 'Cleanliness', 'Online_boarding'],
dtype='object')
airline_data.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 90917 entries, 0 to 90916 Data columns (total 24 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 CustomerID 90917 non-null int64 1 Gender 90917 non-null object 2 CustomerType 81818 non-null object 3 Age 90917 non-null int64 4 TypeTravel 81829 non-null object 5 Class 90917 non-null object 6 Flight_Distance 90917 non-null int64 7 DepartureDelayin_Mins 90917 non-null int64 8 ArrivalDelayin_Mins 90633 non-null float64 9 Satisfaction 90917 non-null object 10 Seat_comfort 90917 non-null object 11 Departure.Arrival.time_convenient 82673 non-null object 12 Food_drink 82736 non-null object 13 Gate_location 90917 non-null object 14 Inflightwifi_service 90917 non-null object 15 Inflight_entertainment 90917 non-null object 16 Online_support 90917 non-null object 17 Ease_of_Onlinebooking 90917 non-null object 18 Onboard_service 83738 non-null object 19 Leg_room_service 90917 non-null object 20 Baggage_handling 90917 non-null object 21 Checkin_service 90917 non-null object 22 Cleanliness 90917 non-null object 23 Online_boarding 90917 non-null object dtypes: float64(1), int64(4), object(19) memory usage: 17.3+ MB
#Changing from object to category
airline_data["CustomerID"]=airline_data["CustomerID"].astype("category")
airline_data["Gender"]=airline_data["Gender"].astype("category")
airline_data["CustomerType"]=airline_data["CustomerType"].astype("category")
airline_data["TypeTravel"]=airline_data["TypeTravel"].astype("category")
airline_data["Class"]=airline_data["Class"].astype("category")
airline_data["Satisfaction"]=airline_data["Satisfaction"].astype("category")
airline_data["Seat_comfort"]=airline_data["Seat_comfort"].astype("category")
airline_data["Gate_location"]=airline_data["Gate_location"].astype("category")
airline_data["Food_drink"]=airline_data["Food_drink"].astype("category")
airline_data["Inflightwifi_service"]=airline_data["Inflightwifi_service"].astype("category")
airline_data["Inflight_entertainment"]=airline_data["Inflight_entertainment"].astype("category")
airline_data["Online_support"]=airline_data["Online_support"].astype("category")
airline_data["Ease_of_Onlinebooking"]=airline_data["Ease_of_Onlinebooking"].astype("category")
airline_data["Onboard_service"]=airline_data["Onboard_service"].astype("category")
airline_data["Leg_room_service"]=airline_data["Leg_room_service"].astype("category")
airline_data["Baggage_handling"]=airline_data["Baggage_handling"].astype("category")
airline_data["Checkin_service"]=airline_data["Checkin_service"].astype("category")
airline_data["Cleanliness"]=airline_data["Cleanliness"].astype("category")
airline_data["Online_boarding"]=airline_data["Online_boarding"].astype("category")
airline_data["Departure.Arrival.time_convenient"]=airline_data["Departure.Arrival.time_convenient"].astype("category")
airline_data.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 90917 entries, 0 to 90916 Data columns (total 24 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 CustomerID 90917 non-null category 1 Gender 90917 non-null category 2 CustomerType 81818 non-null category 3 Age 90917 non-null int64 4 TypeTravel 81829 non-null category 5 Class 90917 non-null category 6 Flight_Distance 90917 non-null int64 7 DepartureDelayin_Mins 90917 non-null int64 8 ArrivalDelayin_Mins 90633 non-null float64 9 Satisfaction 90917 non-null category 10 Seat_comfort 90917 non-null category 11 Departure.Arrival.time_convenient 82673 non-null category 12 Food_drink 82736 non-null category 13 Gate_location 90917 non-null category 14 Inflightwifi_service 90917 non-null category 15 Inflight_entertainment 90917 non-null category 16 Online_support 90917 non-null category 17 Ease_of_Onlinebooking 90917 non-null category 18 Onboard_service 83738 non-null category 19 Leg_room_service 90917 non-null category 20 Baggage_handling 90917 non-null category 21 Checkin_service 90917 non-null category 22 Cleanliness 90917 non-null category 23 Online_boarding 90917 non-null category dtypes: category(20), float64(1), int64(3) memory usage: 8.7 MB
airline_data.head()
| CustomerID | Gender | CustomerType | Age | TypeTravel | Class | Flight_Distance | DepartureDelayin_Mins | ArrivalDelayin_Mins | Satisfaction | ... | Inflightwifi_service | Inflight_entertainment | Online_support | Ease_of_Onlinebooking | Onboard_service | Leg_room_service | Baggage_handling | Checkin_service | Cleanliness | Online_boarding | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 149965 | Female | Loyal Customer | 65 | Personal Travel | 1 | 265 | 0 | 0.0 | satisfied | ... | need improvement | good | need improvement | acceptable | acceptable | extremely poor | acceptable | excellent | acceptable | need improvement |
| 1 | 149966 | Female | Loyal Customer | 15 | Personal Travel | 1 | 2138 | 0 | 0.0 | satisfied | ... | need improvement | extremely poor | need improvement | need improvement | NaN | acceptable | good | good | good | need improvement |
| 2 | 149967 | Female | Loyal Customer | 60 | Personal Travel | 1 | 623 | 0 | 0.0 | satisfied | ... | acceptable | good | acceptable | poor | poor | extremely poor | poor | good | poor | acceptable |
| 3 | 149968 | Female | Loyal Customer | 70 | Personal Travel | 1 | 354 | 0 | 0.0 | satisfied | ... | good | acceptable | good | need improvement | need improvement | extremely poor | need improvement | good | need improvement | excellent |
| 4 | 149969 | Male | Loyal Customer | 30 | NaN | 1 | 1894 | 0 | 0.0 | satisfied | ... | need improvement | extremely poor | need improvement | need improvement | excellent | good | excellent | excellent | good | need improvement |
5 rows × 24 columns
# looking at value counts for non-numeric features
num_to_display = 10 # defining this up here so it's easy to change later if I want
for colname in airline_data.dtypes[airline_data.dtypes == 'category'].index:
val_counts = airline_data[colname].value_counts(dropna=False) # i want to see NA counts
print(val_counts[:num_to_display])
if len(val_counts) > num_to_display:
print(f'Only displaying first {num_to_display} of {len(val_counts)} values.')
print('\n\n') # just for more space between
240881 1 180240 1 180264 1 180265 1 180266 1 180267 1 180268 1 180269 1 180270 1 180271 1 Name: CustomerID, dtype: int64 Only displaying first 10 of 90917 values. Female 46186 Male 44731 Name: Gender, dtype: int64 Loyal Customer 66897 disloyal Customer 14921 NaN 9099 Name: CustomerType, dtype: int64 Business travel 56481 Personal Travel 25348 NaN 9088 Name: TypeTravel, dtype: int64 Business 43535 Eco 40758 Eco Plus 6624 Name: Class, dtype: int64 satisfied 49761 neutral or dissatisfied 41156 Name: Satisfaction, dtype: int64 acceptable 20552 need improvement 20002 good 19789 poor 14687 excellent 12519 extremely poor 3368 Name: Seat_comfort, dtype: int64 good 18840 excellent 17079 acceptable 14806 need improvement 14539 poor 13210 NaN 8244 extremely poor 4199 Name: Departure.Arrival.time_convenient, dtype: int64 acceptable 17991 need improvement 17359 good 17245 poor 13400 excellent 12947 NaN 8181 extremely poor 3794 Name: Food_drink, dtype: int64 manageable 23385 Convinient 21088 need improvement 17113 Inconvinient 15876 very convinient 13454 very inconvinient 1 Name: Gate_location, dtype: int64 good 22159 excellent 20258 acceptable 19199 need improvement 18894 poor 10311 extremely poor 96 Name: Inflightwifi_service, dtype: int64 good 29373 excellent 20786 acceptable 16995 need improvement 13527 poor 8198 extremely poor 2038 Name: Inflight_entertainment, dtype: int64 good 29042 excellent 24916 acceptable 15090 need improvement 12063 poor 9805 extremely poor 1 Name: Online_support, dtype: int64 good 27993 excellent 23960 acceptable 15686 need improvement 13896 poor 9370 extremely poor 12 Name: Ease_of_Onlinebooking, dtype: int64 good 26373 excellent 20396 acceptable 17411 need improvement 11018 poor 8537 NaN 7179 extremely poor 3 Name: Onboard_service, dtype: int64 good 27814 excellent 24071 acceptable 15775 need improvement 15156 poor 7779 extremely poor 322 Name: Leg_room_service, dtype: int64 good 33822 excellent 25002 acceptable 17233 need improvement 9301 poor 5559 Name: Baggage_handling, dtype: int64 good 25483 acceptable 24941 excellent 18918 need improvement 10813 poor 10761 extremely poor 1 Name: Checkin_service, dtype: int64 good 34246 excellent 25079 acceptable 16930 need improvement 9283 poor 5375 extremely poor 4 Name: Cleanliness, dtype: int64 good 24676 acceptable 21427 excellent 20993 need improvement 13035 poor 10777 extremely poor 9 Name: Online_boarding, dtype: int64
Relevel the categorical variables without missing values to reduce the columns of dummy variables
#Class
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Class']= number.fit_transform(airline_data['Class'].astype('str'))
airline_data.Class.unique()
array([1, 0, 2])
#Seat_comfort
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Seat_comfort']= number.fit_transform(airline_data['Seat_comfort'].astype('str'))
airline_data.Seat_comfort.unique()
array([2, 5, 3, 1, 4, 0])
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Gate_location']= number.fit_transform(airline_data['Gate_location'].astype('str'))
airline_data.Gate_location.unique()
array([3, 2, 0, 1, 4, 5])
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Inflightwifi_service']= number.fit_transform(airline_data['Inflightwifi_service'].astype('str'))
airline_data.Inflightwifi_service.unique()
array([4, 0, 3, 1, 5, 2])
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Inflight_entertainment']= number.fit_transform(airline_data['Inflight_entertainment'].astype('str'))
airline_data.Inflight_entertainment.unique()
array([3, 2, 0, 1, 4, 5])
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Online_support']= number.fit_transform(airline_data['Online_support'].astype('str'))
airline_data.Online_support.unique()
array([4, 0, 3, 1, 5, 2])
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Ease_of_Onlinebooking']= number.fit_transform(airline_data['Ease_of_Onlinebooking'].astype('str'))
airline_data.Ease_of_Onlinebooking.unique()
array([0, 4, 5, 1, 3, 2])
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Leg_room_service']= number.fit_transform(airline_data['Leg_room_service'].astype('str'))
airline_data.Leg_room_service.unique()
array([2, 0, 3, 4, 5, 1])
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Baggage_handling']= number.fit_transform(airline_data['Baggage_handling'].astype('str'))
airline_data.Baggage_handling.unique()
array([0, 2, 4, 3, 1])
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Checkin_service']= number.fit_transform(airline_data['Checkin_service'].astype('str'))
airline_data.Checkin_service.unique()
array([1, 3, 0, 4, 5, 2])
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Cleanliness']= number.fit_transform(airline_data['Cleanliness'].astype('str'))
airline_data.Cleanliness.unique()
array([0, 3, 5, 4, 1, 2])
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Online_boarding']= number.fit_transform(airline_data['Online_boarding'].astype('str'))
airline_data.Online_boarding.unique()
array([4, 0, 1, 5, 3, 2])
from sklearn.preprocessing import LabelEncoder
number = LabelEncoder()
airline_data['Gender']= number.fit_transform(airline_data['Gender'].astype('str'))
airline_data.Gender.unique()
array([0, 1])
airline_data.head()
| CustomerID | Gender | CustomerType | Age | TypeTravel | Class | Flight_Distance | DepartureDelayin_Mins | ArrivalDelayin_Mins | Satisfaction | ... | Inflightwifi_service | Inflight_entertainment | Online_support | Ease_of_Onlinebooking | Onboard_service | Leg_room_service | Baggage_handling | Checkin_service | Cleanliness | Online_boarding | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 149965 | 0 | Loyal Customer | 65 | Personal Travel | 1 | 265 | 0 | 0.0 | satisfied | ... | 4 | 3 | 4 | 0 | acceptable | 2 | 0 | 1 | 0 | 4 |
| 1 | 149966 | 0 | Loyal Customer | 15 | Personal Travel | 1 | 2138 | 0 | 0.0 | satisfied | ... | 4 | 2 | 4 | 4 | NaN | 0 | 2 | 3 | 3 | 4 |
| 2 | 149967 | 0 | Loyal Customer | 60 | Personal Travel | 1 | 623 | 0 | 0.0 | satisfied | ... | 0 | 3 | 0 | 5 | poor | 2 | 4 | 3 | 5 | 0 |
| 3 | 149968 | 0 | Loyal Customer | 70 | Personal Travel | 1 | 354 | 0 | 0.0 | satisfied | ... | 3 | 0 | 3 | 4 | need improvement | 2 | 3 | 3 | 4 | 1 |
| 4 | 149969 | 1 | Loyal Customer | 30 | NaN | 1 | 1894 | 0 | 0.0 | satisfied | ... | 4 | 2 | 4 | 4 | excellent | 3 | 1 | 1 | 3 | 4 |
5 rows × 24 columns
airline_data.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 90917 entries, 0 to 90916 Data columns (total 24 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 CustomerID 90917 non-null category 1 Gender 90917 non-null int32 2 CustomerType 81818 non-null category 3 Age 90917 non-null int64 4 TypeTravel 81829 non-null category 5 Class 90917 non-null int32 6 Flight_Distance 90917 non-null int64 7 DepartureDelayin_Mins 90917 non-null int64 8 ArrivalDelayin_Mins 90633 non-null float64 9 Satisfaction 90917 non-null category 10 Seat_comfort 90917 non-null int32 11 Departure.Arrival.time_convenient 82673 non-null category 12 Food_drink 82736 non-null category 13 Gate_location 90917 non-null int32 14 Inflightwifi_service 90917 non-null int32 15 Inflight_entertainment 90917 non-null int32 16 Online_support 90917 non-null int32 17 Ease_of_Onlinebooking 90917 non-null int32 18 Onboard_service 83738 non-null category 19 Leg_room_service 90917 non-null int32 20 Baggage_handling 90917 non-null int32 21 Checkin_service 90917 non-null int32 22 Cleanliness 90917 non-null int32 23 Online_boarding 90917 non-null int32 dtypes: category(7), float64(1), int32(13), int64(3) memory usage: 12.0 MB
#Changing from object to category
airline_data["CustomerID"]=airline_data["CustomerID"].astype("category")
airline_data["Gender"]=airline_data["Gender"].astype("category")
airline_data["CustomerType"]=airline_data["CustomerType"].astype("category")
airline_data["TypeTravel"]=airline_data["TypeTravel"].astype("category")
airline_data["Class"]=airline_data["Class"].astype("category")
airline_data["Satisfaction"]=airline_data["Satisfaction"].astype("category")
airline_data["Seat_comfort"]=airline_data["Seat_comfort"].astype("category")
airline_data["Gate_location"]=airline_data["Gate_location"].astype("category")
airline_data["Food_drink"]=airline_data["Food_drink"].astype("category")
airline_data["Inflightwifi_service"]=airline_data["Inflightwifi_service"].astype("category")
airline_data["Inflight_entertainment"]=airline_data["Inflight_entertainment"].astype("category")
airline_data["Online_support"]=airline_data["Online_support"].astype("category")
airline_data["Ease_of_Onlinebooking"]=airline_data["Ease_of_Onlinebooking"].astype("category")
airline_data["Onboard_service"]=airline_data["Onboard_service"].astype("category")
airline_data["Leg_room_service"]=airline_data["Leg_room_service"].astype("category")
airline_data["Baggage_handling"]=airline_data["Baggage_handling"].astype("category")
airline_data["Checkin_service"]=airline_data["Checkin_service"].astype("category")
airline_data["Cleanliness"]=airline_data["Cleanliness"].astype("category")
airline_data["Online_boarding"]=airline_data["Online_boarding"].astype("category")
airline_data["Departure.Arrival.time_convenient"]=airline_data["Departure.Arrival.time_convenient"].astype("category")
# looking at value counts for releveled categories
num_to_display = 10 # defining this up here so it's easy to change later if I want
for colname in airline_data.dtypes[airline_data.dtypes == 'category'].index:
val_counts = airline_data[colname].value_counts(dropna=False) # i want to see NA counts
print(val_counts[:num_to_display])
if len(val_counts) > num_to_display:
print(f'Only displaying first {num_to_display} of {len(val_counts)} values.')
print('\n\n') # just for more space between
240881 1 180240 1 180264 1 180265 1 180266 1 180267 1 180268 1 180269 1 180270 1 180271 1 Name: CustomerID, dtype: int64 Only displaying first 10 of 90917 values. 0 46186 1 44731 Name: Gender, dtype: int64 Loyal Customer 66897 disloyal Customer 14921 NaN 9099 Name: CustomerType, dtype: int64 Business travel 56481 Personal Travel 25348 NaN 9088 Name: TypeTravel, dtype: int64 0 43535 1 40758 2 6624 Name: Class, dtype: int64 satisfied 49761 neutral or dissatisfied 41156 Name: Satisfaction, dtype: int64 0 20552 4 20002 3 19789 5 14687 1 12519 2 3368 Name: Seat_comfort, dtype: int64 good 18840 excellent 17079 acceptable 14806 need improvement 14539 poor 13210 NaN 8244 extremely poor 4199 Name: Departure.Arrival.time_convenient, dtype: int64 acceptable 17991 need improvement 17359 good 17245 poor 13400 excellent 12947 NaN 8181 extremely poor 3794 Name: Food_drink, dtype: int64 2 23385 0 21088 3 17113 1 15876 4 13454 5 1 Name: Gate_location, dtype: int64 3 22159 1 20258 0 19199 4 18894 5 10311 2 96 Name: Inflightwifi_service, dtype: int64 3 29373 1 20786 0 16995 4 13527 5 8198 2 2038 Name: Inflight_entertainment, dtype: int64 3 29042 1 24916 0 15090 4 12063 5 9805 2 1 Name: Online_support, dtype: int64 3 27993 1 23960 0 15686 4 13896 5 9370 2 12 Name: Ease_of_Onlinebooking, dtype: int64 good 26373 excellent 20396 acceptable 17411 need improvement 11018 poor 8537 NaN 7179 extremely poor 3 Name: Onboard_service, dtype: int64 3 27814 1 24071 0 15775 4 15156 5 7779 2 322 Name: Leg_room_service, dtype: int64 2 33822 1 25002 0 17233 3 9301 4 5559 Name: Baggage_handling, dtype: int64 3 25483 0 24941 1 18918 4 10813 5 10761 2 1 Name: Checkin_service, dtype: int64 3 34246 1 25079 0 16930 4 9283 5 5375 2 4 Name: Cleanliness, dtype: int64 3 24676 0 21427 1 20993 4 13035 5 10777 2 9 Name: Online_boarding, dtype: int64
airline_data.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 90917 entries, 0 to 90916 Data columns (total 24 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 CustomerID 90917 non-null category 1 Gender 90917 non-null int32 2 CustomerType 81818 non-null category 3 Age 90917 non-null int64 4 TypeTravel 81829 non-null category 5 Class 90917 non-null int32 6 Flight_Distance 90917 non-null int64 7 DepartureDelayin_Mins 90917 non-null int64 8 ArrivalDelayin_Mins 90633 non-null float64 9 Satisfaction 90917 non-null category 10 Seat_comfort 90917 non-null int32 11 Departure.Arrival.time_convenient 82673 non-null category 12 Food_drink 82736 non-null category 13 Gate_location 90917 non-null int32 14 Inflightwifi_service 90917 non-null int32 15 Inflight_entertainment 90917 non-null int32 16 Online_support 90917 non-null int32 17 Ease_of_Onlinebooking 90917 non-null int32 18 Onboard_service 83738 non-null category 19 Leg_room_service 90917 non-null int32 20 Baggage_handling 90917 non-null int32 21 Checkin_service 90917 non-null int32 22 Cleanliness 90917 non-null int32 23 Online_boarding 90917 non-null int32 dtypes: category(7), float64(1), int32(13), int64(3) memory usage: 12.0 MB
import pandas_profiling
airline_data.profile_report()
airline_data.describe()
| Age | Flight_Distance | DepartureDelayin_Mins | ArrivalDelayin_Mins | |
|---|---|---|---|---|
| count | 90917.000000 | 90917.000000 | 90917.000000 | 90633.000000 |
| mean | 39.447166 | 1981.629442 | 14.686593 | 15.058930 |
| std | 15.129794 | 1026.779932 | 38.669260 | 39.038523 |
| min | 7.000000 | 50.000000 | 0.000000 | 0.000000 |
| 25% | 27.000000 | 1360.000000 | 0.000000 | 0.000000 |
| 50% | 40.000000 | 1927.000000 | 0.000000 | 0.000000 |
| 75% | 51.000000 | 2542.000000 | 12.000000 | 13.000000 |
| max | 85.000000 | 6950.000000 | 1592.000000 | 1584.000000 |
airline_data.describe(include=["category"])
| CustomerID | Gender | CustomerType | TypeTravel | Class | Satisfaction | Seat_comfort | Departure.Arrival.time_convenient | Food_drink | Gate_location | Inflightwifi_service | Inflight_entertainment | Online_support | Ease_of_Onlinebooking | Onboard_service | Leg_room_service | Baggage_handling | Checkin_service | Cleanliness | Online_boarding | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 90917 | 90917 | 81818 | 81829 | 90917 | 90917 | 90917 | 82673 | 82736 | 90917 | 90917 | 90917 | 90917 | 90917 | 83738 | 90917 | 90917 | 90917 | 90917 | 90917 |
| unique | 90917 | 2 | 2 | 2 | 3 | 2 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 5 | 6 | 6 | 6 |
| top | 240881 | 0 | Loyal Customer | Business travel | 0 | satisfied | 0 | good | acceptable | 2 | 3 | 3 | 3 | 3 | good | 3 | 2 | 3 | 3 | 3 |
| freq | 1 | 46186 | 66897 | 56481 | 43535 | 49761 | 20552 | 18840 | 17991 | 23385 | 22159 | 29373 | 29042 | 27993 | 26373 | 27814 | 33822 | 25483 | 34246 | 24676 |
airline_data.isnull().sum()
CustomerID 0 Gender 0 CustomerType 9099 Age 0 TypeTravel 9088 Class 0 Flight_Distance 0 DepartureDelayin_Mins 0 ArrivalDelayin_Mins 284 Satisfaction 0 Seat_comfort 0 Departure.Arrival.time_convenient 8244 Food_drink 8181 Gate_location 0 Inflightwifi_service 0 Inflight_entertainment 0 Online_support 0 Ease_of_Onlinebooking 0 Onboard_service 7179 Leg_room_service 0 Baggage_handling 0 Checkin_service 0 Cleanliness 0 Online_boarding 0 dtype: int64
dupes = airline_data.duplicated()
sum(dupes)
#there are no duplicates in the dataset
0
airline_data.isnull().sum()/len(airline_data)
#to see a percentage missing values
#missing values of customer type is 10% of the dataset,while the other variable are less than 1% of the dataset
CustomerID 0.000000 Gender 0.000000 CustomerType 0.100080 Age 0.000000 TypeTravel 0.099959 Class 0.000000 Flight_Distance 0.000000 DepartureDelayin_Mins 0.000000 ArrivalDelayin_Mins 0.003124 Satisfaction 0.000000 Seat_comfort 0.000000 Departure.Arrival.time_convenient 0.090676 Food_drink 0.089983 Gate_location 0.000000 Inflightwifi_service 0.000000 Inflight_entertainment 0.000000 Online_support 0.000000 Ease_of_Onlinebooking 0.000000 Onboard_service 0.078962 Leg_room_service 0.000000 Baggage_handling 0.000000 Checkin_service 0.000000 Cleanliness 0.000000 Online_boarding 0.000000 dtype: float64
#changing categorical variables to dummy variable
falcon= pd.get_dummies(airline_data, columns=['Satisfaction','CustomerType','TypeTravel','Departure.Arrival.time_convenient', 'Food_drink', 'Onboard_service'], drop_first=True)
falcon.head()
| CustomerID | Gender | Age | Class | Flight_Distance | DepartureDelayin_Mins | ArrivalDelayin_Mins | Seat_comfort | Gate_location | Inflightwifi_service | ... | Food_drink_excellent | Food_drink_extremely poor | Food_drink_good | Food_drink_need improvement | Food_drink_poor | Onboard_service_excellent | Onboard_service_extremely poor | Onboard_service_good | Onboard_service_need improvement | Onboard_service_poor | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 149965 | 0 | 65 | 1 | 265 | 0 | 0.0 | 2 | 3 | 4 | ... | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | 149966 | 0 | 15 | 1 | 2138 | 0 | 0.0 | 2 | 2 | 4 | ... | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 | 149967 | 0 | 60 | 1 | 623 | 0 | 0.0 | 2 | 2 | 0 | ... | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 3 | 149968 | 0 | 70 | 1 | 354 | 0 | 0.0 | 2 | 2 | 3 | ... | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 4 | 149969 | 1 | 30 | 1 | 1894 | 0 | 0.0 | 2 | 2 | 4 | ... | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
5 rows × 36 columns
falcon.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 90917 entries, 0 to 90916 Data columns (total 36 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 CustomerID 90917 non-null category 1 Gender 90917 non-null int32 2 Age 90917 non-null int64 3 Class 90917 non-null int32 4 Flight_Distance 90917 non-null int64 5 DepartureDelayin_Mins 90917 non-null int64 6 ArrivalDelayin_Mins 90633 non-null float64 7 Seat_comfort 90917 non-null int32 8 Gate_location 90917 non-null int32 9 Inflightwifi_service 90917 non-null int32 10 Inflight_entertainment 90917 non-null int32 11 Online_support 90917 non-null int32 12 Ease_of_Onlinebooking 90917 non-null int32 13 Leg_room_service 90917 non-null int32 14 Baggage_handling 90917 non-null int32 15 Checkin_service 90917 non-null int32 16 Cleanliness 90917 non-null int32 17 Online_boarding 90917 non-null int32 18 Satisfaction_satisfied 90917 non-null uint8 19 CustomerType_disloyal Customer 90917 non-null uint8 20 TypeTravel_Personal Travel 90917 non-null uint8 21 Departure.Arrival.time_convenient_excellent 90917 non-null uint8 22 Departure.Arrival.time_convenient_extremely poor 90917 non-null uint8 23 Departure.Arrival.time_convenient_good 90917 non-null uint8 24 Departure.Arrival.time_convenient_need improvement 90917 non-null uint8 25 Departure.Arrival.time_convenient_poor 90917 non-null uint8 26 Food_drink_excellent 90917 non-null uint8 27 Food_drink_extremely poor 90917 non-null uint8 28 Food_drink_good 90917 non-null uint8 29 Food_drink_need improvement 90917 non-null uint8 30 Food_drink_poor 90917 non-null uint8 31 Onboard_service_excellent 90917 non-null uint8 32 Onboard_service_extremely poor 90917 non-null uint8 33 Onboard_service_good 90917 non-null uint8 34 Onboard_service_need improvement 90917 non-null uint8 35 Onboard_service_poor 90917 non-null uint8 dtypes: category(1), float64(1), int32(13), int64(3), uint8(18) memory usage: 13.1 MB
#using information value to see variables that do not contribute to prediction
#creating a function that finds information value
def iv_woe(data,target, bins=10, show_woe=False):
#Empty Dataframe
newDF,woeDF = pd.DataFrame(), pd.DataFrame()
#Extract Column Names
cols = data.columns
#Run WOE and IV on all the independent variables
for ivars in cols[~cols.isin([target])]:
if (data[ivars].dtype.kind in 'bifc') and (len(np.unique(data[ivars]))>10):
binned_x = pd.qcut(data[ivars], 10, duplicates='drop')
d0 = pd.DataFrame({'x': binned_x, 'y':data [target]})
else:
d0 = pd.DataFrame({'x':data[ivars], 'y': data[target]})
d = d0.groupby("x", as_index=False).agg({"y": ["count", "sum"]})
d.columns = ['Cutoff', 'N', 'Events']
d['% of Events'] = np.maximum(d['Events'], 0.5) / d['Events'].sum()
d['Non-Events'] = d['N'] - d['Events']
d['% of Non-Events'] = np.maximum(d['Non-Events'], 0.5) / d['Non-Events'].sum()
d['WoE'] = np.log(d['% of Events']/d['% of Non-Events'])
d['IV'] = d['WoE'] * (d['% of Events'] - d['% of Non-Events'])
d.insert(loc=0, column='Variable', value=ivars)
print("Information value of " + ivars + " is " + str(round(d['IV'].sum(),6)))
temp =pd.DataFrame({"Variable" : [ivars], "IV" : [d['IV'].sum()]}, columns = ["Variable", "IV"])
newDF=pd.concat([newDF,temp], axis=0)
woeDF=pd.concat([woeDF,d], axis=0)
#Show WOE Table
if show_woe == True:
print(d)
return newDF, woeDF
#print information value
iv2, woe2 = iv_woe(data = falcon, target = 'Satisfaction_satisfied', bins=10, show_woe = True)
print(iv2)
Information value of CustomerID is 0.716881
Variable Cutoff N Events % of Events Non-Events \
0 CustomerID 149965 1 1 0.00002 0
1 CustomerID 149966 1 1 0.00002 0
2 CustomerID 149967 1 1 0.00002 0
3 CustomerID 149968 1 1 0.00002 0
4 CustomerID 149969 1 1 0.00002 0
... ... ... .. ... ... ...
90912 CustomerID 240877 1 1 0.00002 0
90913 CustomerID 240878 1 1 0.00002 0
90914 CustomerID 240879 1 0 0.00001 1
90915 CustomerID 240880 1 0 0.00001 1
90916 CustomerID 240881 1 0 0.00001 1
% of Non-Events WoE IV
0 0.000012 0.503285 0.000004
1 0.000012 0.503285 0.000004
2 0.000012 0.503285 0.000004
3 0.000012 0.503285 0.000004
4 0.000012 0.503285 0.000004
... ... ... ...
90912 0.000012 0.503285 0.000004
90913 0.000012 0.503285 0.000004
90914 0.000024 -0.883009 0.000013
90915 0.000024 -0.883009 0.000013
90916 0.000024 -0.883009 0.000013
[90917 rows x 9 columns]
Information value of Gender is 0.182616
Variable Cutoff N Events % of Events Non-Events % of Non-Events \
0 Gender 0 46186 30055.0 0.603987 16131.0 0.391948
1 Gender 1 44731 19706.0 0.396013 25025.0 0.608052
WoE IV
0 0.432424 0.091691
1 -0.428814 0.090925
Information value of Age is 0.159803
Variable Cutoff N Events % of Events Non-Events \
0 Age (6.999, 20.0] 9875 4224.0 0.084886 5651.0
1 Age (20.0, 25.0] 9885 4479.0 0.090010 5406.0
2 Age (25.0, 30.0] 8777 3930.0 0.078978 4847.0
3 Age (30.0, 36.0] 9611 4737.0 0.095195 4874.0
4 Age (36.0, 40.0] 8957 4953.0 0.099536 4004.0
5 Age (40.0, 44.0] 8536 5616.0 0.112859 2920.0
6 Age (44.0, 49.0] 9937 6555.0 0.131730 3382.0
7 Age (49.0, 54.0] 8796 5903.0 0.118627 2893.0
8 Age (54.0, 59.0] 7902 5280.0 0.106107 2622.0
9 Age (59.0, 85.0] 8641 4084.0 0.082072 4557.0
% of Non-Events WoE IV
0 0.137307 -0.480912 0.025210
1 0.131354 -0.377971 0.015627
2 0.117771 -0.399582 0.015501
3 0.118427 -0.218373 0.005073
4 0.097288 0.022838 0.000051
5 0.070950 0.464174 0.019454
6 0.082175 0.471899 0.023385
7 0.070294 0.523305 0.025293
8 0.063709 0.510127 0.021629
9 0.110725 -0.299449 0.008580
Information value of Class is 0.416098
Variable Cutoff N Events % of Events Non-Events % of Non-Events \
0 Class 0 43535 30935.0 0.621672 12600.0 0.306152
1 Class 1 40758 16003.0 0.321597 24755.0 0.601492
2 Class 2 6624 2823.0 0.056731 3801.0 0.092356
WoE IV
0 0.708330 0.223492
1 -0.626113 0.175246
2 -0.487326 0.017361
Information value of Flight_Distance is 0.203664
Variable Cutoff N Events % of Events Non-Events \
0 Flight_Distance (49.999, 544.0] 9107 6815.0 0.136955 2292.0
1 Flight_Distance (544.0, 1137.0] 9082 6330.0 0.127208 2752.0
2 Flight_Distance (1137.0, 1509.0] 9097 4075.0 0.081891 5022.0
3 Flight_Distance (1509.0, 1727.0] 9093 4279.0 0.085991 4814.0
4 Flight_Distance (1727.0, 1927.0] 9113 4143.0 0.083258 4970.0
5 Flight_Distance (1927.0, 2136.0] 9086 4027.0 0.080927 5059.0
6 Flight_Distance (2136.0, 2389.0] 9071 4158.0 0.083559 4913.0
7 Flight_Distance (2389.0, 2740.0] 9098 4700.0 0.094451 4398.0
8 Flight_Distance (2740.0, 3398.0] 9083 5324.0 0.106991 3759.0
9 Flight_Distance (3398.0, 6950.0] 9087 5910.0 0.118768 3177.0
% of Non-Events WoE IV
0 0.055691 0.899839 0.073125
1 0.066868 0.643110 0.038806
2 0.122024 -0.398819 0.016005
3 0.116970 -0.307671 0.009531
4 0.120760 -0.371861 0.013946
5 0.122923 -0.418009 0.017555
6 0.119375 -0.356712 0.012776
7 0.106862 -0.123449 0.001532
8 0.091335 0.158210 0.002477
9 0.077194 0.430847 0.017912
Information value of DepartureDelayin_Mins is 0.026694
Variable Cutoff N Events % of Events \
0 DepartureDelayin_Mins (-0.001, 2.0] 55960 32031.0 0.643697
1 DepartureDelayin_Mins (2.0, 8.0] 8591 4783.0 0.096119
2 DepartureDelayin_Mins (8.0, 18.0] 8201 4376.0 0.087940
3 DepartureDelayin_Mins (18.0, 43.0] 9098 4489.0 0.090211
4 DepartureDelayin_Mins (43.0, 1592.0] 9067 4082.0 0.082032
Non-Events % of Non-Events WoE IV
0 23929.0 0.581422 0.101751 0.006337
1 3808.0 0.092526 0.038102 0.000137
2 3825.0 0.092939 -0.055285 0.000276
3 4609.0 0.111989 -0.216243 0.004709
4 4985.0 0.121125 -0.389708 0.015235
Information value of ArrivalDelayin_Mins is 0.043593
Variable Cutoff N Events % of Events \
0 ArrivalDelayin_Mins (-0.001, 2.0] 54614 32046.0 0.645932
1 ArrivalDelayin_Mins (2.0, 9.0] 9844 5222.0 0.105257
2 ArrivalDelayin_Mins (9.0, 19.0] 8307 4008.0 0.080787
3 ArrivalDelayin_Mins (19.0, 44.0] 8959 4302.0 0.086713
4 ArrivalDelayin_Mins (44.0, 1584.0] 8909 4034.0 0.081311
Non-Events % of Non-Events WoE IV
0 22568.0 0.550157 0.160491 0.015371
1 4622.0 0.112674 -0.068096 0.000505
2 4299.0 0.104800 -0.260239 0.006249
3 4657.0 0.113527 -0.269440 0.007225
4 4875.0 0.118842 -0.379510 0.014243
Information value of Seat_comfort is 1.903477
Variable Cutoff N Events % of Events Non-Events \
0 Seat_comfort 0 20552 7278.0 0.146259 13274.0
1 Seat_comfort 1 12519 12422.0 0.249633 97.0
2 Seat_comfort 2 3368 3362.0 0.067563 6.0
3 Seat_comfort 3 19789 12911.0 0.259460 6878.0
4 Seat_comfort 4 20002 7098.0 0.142642 12904.0
5 Seat_comfort 5 14687 6690.0 0.134443 7997.0
% of Non-Events WoE IV
0 0.322529 -0.790813 0.139396
1 0.002357 4.662652 1.152964
2 0.000146 6.138670 0.413852
3 0.167120 0.439890 0.040619
4 0.313539 -0.787586 0.134596
5 0.194309 -0.368314 0.022050
Information value of Gate_location is 0.086835
Variable Cutoff N Events % of Events Non-Events \
0 Gate_location 0 21088 10467.0 0.210345 10621.0
1 Gate_location 1 15876 9743.0 0.195796 6133.0
2 Gate_location 2 23385 10800.0 0.217037 12585.0
3 Gate_location 3 17113 9891.0 0.198770 7222.0
4 Gate_location 4 13454 8859.0 0.178031 4595.0
5 Gate_location 5 1 1.0 0.000020 0.0
% of Non-Events WoE IV
0 0.258067 -0.204468 0.009757
1 0.149018 0.273003 0.012770
2 0.305788 -0.342821 0.030425
3 0.175479 0.124632 0.002903
4 0.111648 0.466603 0.030974
5 0.000012 0.503285 0.000004
Information value of Inflightwifi_service is 0.251062
Variable Cutoff N Events % of Events Non-Events \
0 Inflightwifi_service 0 19199 9817.0 0.197283 9382.0
1 Inflightwifi_service 1 20258 13505.0 0.271397 6753.0
2 Inflightwifi_service 2 96 43.0 0.000864 53.0
3 Inflightwifi_service 3 22159 14165.0 0.284661 7994.0
4 Inflightwifi_service 4 18894 9447.0 0.189847 9447.0
5 Inflightwifi_service 5 10311 2784.0 0.055947 7527.0
% of Non-Events WoE IV
0 0.227962 -0.144539 0.004434
1 0.164083 0.503211 0.054002
2 0.001288 -0.398954 0.000169
3 0.194237 0.382221 0.034562
4 0.229541 -0.189862 0.007536
5 0.182889 -1.184470 0.150359
Information value of Inflight_entertainment is 2.213031
Variable Cutoff N Events % of Events Non-Events \
0 Inflight_entertainment 0 16995 3354.0 0.067402 13641.0
1 Inflight_entertainment 1 20786 19775.0 0.397400 1011.0
2 Inflight_entertainment 2 2038 1360.0 0.027331 678.0
3 Inflight_entertainment 3 29373 21187.0 0.425775 8186.0
4 Inflight_entertainment 4 13527 2346.0 0.047145 11181.0
5 Inflight_entertainment 5 8198 1739.0 0.034947 6459.0
% of Non-Events WoE IV
0 0.331446 -1.592788 0.420566
1 0.024565 2.783617 1.037828
2 0.016474 0.506231 0.005496
3 0.198902 0.761101 0.172674
4 0.271674 -1.751366 0.393231
5 0.156939 -1.502026 0.183236
Information value of Online_support is 0.806214
Variable Cutoff N Events % of Events Non-Events \
0 Online_support 0 15090 4256.0 0.085529 10834.0
1 Online_support 1 24916 19192.0 0.385684 5724.0
2 Online_support 2 1 0.0 0.000010 1.0
3 Online_support 3 29042 19813.0 0.398163 9229.0
4 Online_support 4 12063 3562.0 0.071582 8501.0
5 Online_support 5 9805 2938.0 0.059042 6867.0
% of Non-Events WoE IV
0 0.263242 -1.124221 0.199789
1 0.139081 1.019964 0.251526
2 0.000024 -0.883009 0.000013
3 0.224244 0.574126 0.099851
4 0.206556 -1.059723 0.143034
5 0.166853 -1.038860 0.112000
Information value of Ease_of_Onlinebooking is 0.903662
Variable Cutoff N Events % of Events Non-Events \
0 Ease_of_Onlinebooking 0 15686 5619.0 0.112920 10067.0
1 Ease_of_Onlinebooking 1 23960 18254.0 0.366833 5706.0
2 Ease_of_Onlinebooking 2 12 0.0 0.000010 12.0
3 Ease_of_Onlinebooking 3 27993 20126.0 0.404453 7867.0
4 Ease_of_Onlinebooking 4 13896 3952.0 0.079420 9944.0
5 Ease_of_Onlinebooking 5 9370 1810.0 0.036374 7560.0
% of Non-Events WoE IV
0 0.244606 -0.772971 0.101790
1 0.138643 0.973004 0.222030
2 0.000292 -3.367916 0.000948
3 0.191151 0.749474 0.159865
4 0.241617 -1.112609 0.180463
5 0.183691 -1.619406 0.238567
Information value of Leg_room_service is 0.477786
Variable Cutoff N Events % of Events Non-Events \
0 Leg_room_service 0 15775 5823.0 0.117019 9952.0
1 Leg_room_service 1 24071 17053.0 0.342698 7018.0
2 Leg_room_service 2 322 218.0 0.004381 104.0
3 Leg_room_service 3 27814 18763.0 0.377062 9051.0
4 Leg_room_service 4 15156 5681.0 0.114166 9475.0
5 Leg_room_service 5 7779 2223.0 0.044674 5556.0
% of Non-Events WoE IV
0 0.241812 -0.725820 0.090577
1 0.170522 0.697986 0.120177
2 0.002527 0.550242 0.001020
3 0.219919 0.539150 0.084724
4 0.230222 -0.701391 0.081401
5 0.134999 -1.105883 0.099889
Information value of Baggage_handling is 0.405562
Variable Cutoff N Events % of Events Non-Events \
0 Baggage_handling 0 17233 5462.0 0.109765 11771.0
1 Baggage_handling 1 25002 18373.0 0.369225 6629.0
2 Baggage_handling 2 33822 19895.0 0.399811 13927.0
3 Baggage_handling 3 9301 3674.0 0.073833 5627.0
4 Baggage_handling 4 5559 2357.0 0.047366 3202.0
% of Non-Events WoE IV
0 0.286009 -0.957686 0.168787
1 0.161070 0.829566 0.172678
2 0.338395 0.166777 0.010243
3 0.136724 -0.616157 0.038751
4 0.077802 -0.496248 0.015103
Information value of Checkin_service is 0.336351
Variable Cutoff N Events % of Events Non-Events \
0 Checkin_service 0 24941 14109.0 0.283535 10832.0
1 Checkin_service 1 18918 13913.0 0.279596 5005.0
2 Checkin_service 2 1 0.0 0.000010 1.0
3 Checkin_service 3 25483 14755.0 0.296517 10728.0
4 Checkin_service 4 10813 3575.0 0.071843 7238.0
5 Checkin_service 5 10761 3409.0 0.068507 7352.0
% of Non-Events WoE IV
0 0.263194 0.074446 0.001514
1 0.121610 0.832524 0.131527
2 0.000024 -0.883009 0.000013
3 0.260667 0.128863 0.004620
4 0.175867 -0.895242 0.093127
5 0.178637 -0.958415 0.105550
Information value of Cleanliness is 0.394216
Variable Cutoff N Events % of Events Non-Events \
0 Cleanliness 0 16930 5387.0 0.108257 11543.0
1 Cleanliness 1 25079 18349.0 0.368743 6730.0
2 Cleanliness 2 4 0.0 0.000010 4.0
3 Cleanliness 3 34246 20095.0 0.403830 14151.0
4 Cleanliness 4 9283 3739.0 0.075139 5544.0
5 Cleanliness 5 5375 2191.0 0.044030 3184.0
% of Non-Events WoE IV
0 0.280469 -0.951952 0.163938
1 0.163524 0.813138 0.166871
2 0.000097 -2.269303 0.000198
3 0.343838 0.160824 0.009648
4 0.134707 -0.583760 0.034773
5 0.077364 -0.563642 0.018788
Information value of Online_boarding is 0.519441
Variable Cutoff N Events % of Events Non-Events \
0 Online_boarding 0 21427 11791.0 0.236953 9636.0
1 Online_boarding 1 20993 15258.0 0.306626 5735.0
2 Online_boarding 2 9 0.0 0.000010 9.0
3 Online_boarding 3 24676 16160.0 0.324752 8516.0
4 Online_boarding 4 13035 3679.0 0.073933 9356.0
5 Online_boarding 5 10777 2873.0 0.057736 7904.0
% of Non-Events WoE IV
0 0.234134 0.011969 0.000034
1 0.139348 0.788654 0.131924
2 0.000219 -3.080234 0.000643
3 0.206920 0.450730 0.053111
4 0.227330 -1.123239 0.172301
5 0.192050 -1.201874 0.161428
Information value of CustomerType_disloyal Customer is 0.325447
Variable Cutoff N Events % of Events \
0 CustomerType_disloyal Customer 0 75996 46191.0 0.928257
1 CustomerType_disloyal Customer 1 14921 3570.0 0.071743
Non-Events % of Non-Events WoE IV
0 29805.0 0.724196 0.248247 0.050658
1 11351.0 0.275804 -1.346602 0.274789
Information value of TypeTravel_Personal Travel is 0.043011
Variable Cutoff N Events % of Events \
0 TypeTravel_Personal Travel 0 65569 37985.0 0.763349
1 TypeTravel_Personal Travel 1 25348 11776.0 0.236651
Non-Events % of Non-Events WoE IV
0 27584.0 0.67023 0.130094 0.012114
1 13572.0 0.32977 -0.331807 0.030897
Information value of Departure.Arrival.time_convenient_excellent is 0.000416
Variable Cutoff N Events \
0 Departure.Arrival.time_convenient_excellent 0 73838 40234.0
1 Departure.Arrival.time_convenient_excellent 1 17079 9527.0
% of Events Non-Events % of Non-Events WoE IV
0 0.808545 33604.0 0.816503 -0.009795 0.000078
1 0.191455 7552.0 0.183497 0.042456 0.000338
Information value of Departure.Arrival.time_convenient_extremely poor is 4.6e-05
Variable Cutoff N Events \
0 Departure.Arrival.time_convenient_extremely poor 0 86718 47495.0
1 Departure.Arrival.time_convenient_extremely poor 1 4199 2266.0
% of Events Non-Events % of Non-Events WoE IV
0 0.954462 39223.0 0.953032 0.001499 0.000002
1 0.045538 1933.0 0.046968 -0.030919 0.000044
Information value of Departure.Arrival.time_convenient_good is 0.00226
Variable Cutoff N Events \
0 Departure.Arrival.time_convenient_good 0 72077 39884.0
1 Departure.Arrival.time_convenient_good 1 18840 9877.0
% of Events Non-Events % of Non-Events WoE IV
0 0.801511 32193.0 0.782219 0.024364 0.00047
1 0.198489 8963.0 0.217781 -0.092758 0.00179
Information value of Departure.Arrival.time_convenient_need improvement is 0.000631
Variable Cutoff N Events \
0 Departure.Arrival.time_convenient_need improve... 0 76378 42011.0
1 Departure.Arrival.time_convenient_need improve... 1 14539 7750.0
% of Events Non-Events % of Non-Events WoE IV
0 0.844256 34367.0 0.835042 0.010973 0.000101
1 0.155744 6789.0 0.164958 -0.057473 0.000530
Information value of Departure.Arrival.time_convenient_poor is 0.005555
Variable Cutoff N Events \
0 Departure.Arrival.time_convenient_poor 0 77707 41942.0
1 Departure.Arrival.time_convenient_poor 1 13210 7819.0
% of Events Non-Events % of Non-Events WoE IV
0 0.842869 35765.0 0.869011 -0.030544 0.000798
1 0.157131 5391.0 0.130989 0.181964 0.004757
Information value of Food_drink_excellent is 0.164293
Variable Cutoff N Events % of Events Non-Events \
0 Food_drink_excellent 0 77970 39665.0 0.79711 38305.0
1 Food_drink_excellent 1 12947 10096.0 0.20289 2851.0
% of Non-Events WoE IV
0 0.930727 -0.154973 0.020707
1 0.069273 1.074608 0.143586
Information value of Food_drink_extremely poor is 0.04485
Variable Cutoff N Events % of Events Non-Events \
0 Food_drink_extremely poor 0 87123 46792.0 0.940335 40331.0
1 Food_drink_extremely poor 1 3794 2969.0 0.059665 825.0
% of Non-Events WoE IV
0 0.979954 -0.041270 0.001635
1 0.020046 1.090735 0.043214
Information value of Food_drink_good is 0.006616
Variable Cutoff N Events % of Events Non-Events \
0 Food_drink_good 0 73672 39607.0 0.795945 34065.0
1 Food_drink_good 1 17245 10154.0 0.204055 7091.0
% of Non-Events WoE IV
0 0.827704 -0.039126 0.001243
1 0.172296 0.169180 0.005373
Information value of Food_drink_need improvement is 0.053255
Variable Cutoff N Events % of Events \
0 Food_drink_need improvement 0 73558 42305.0 0.850164
1 Food_drink_need improvement 1 17359 7456.0 0.149836
Non-Events % of Non-Events WoE IV
0 31253.0 0.759379 0.112928 0.010252
1 9903.0 0.240621 -0.473680 0.043003
Information value of Food_drink_poor is 0.003236
Variable Cutoff N Events % of Events Non-Events \
0 Food_drink_poor 0 77517 42882.0 0.861759 34635.0
1 Food_drink_poor 1 13400 6879.0 0.138241 6521.0
% of Non-Events WoE IV
0 0.841554 0.023726 0.000479
1 0.158446 -0.136416 0.002756
Information value of Onboard_service_excellent is 0.247861
Variable Cutoff N Events % of Events Non-Events \
0 Onboard_service_excellent 0 70521 34134.0 0.685959 36387.0
1 Onboard_service_excellent 1 20396 15627.0 0.314041 4769.0
% of Non-Events WoE IV
0 0.884124 -0.253779 0.050290
1 0.115876 0.997002 0.197571
Information value of Onboard_service_extremely poor is 0.000125
Variable Cutoff N Events % of Events \
0 Onboard_service_extremely poor 0 90914 49761.0 1.00000
1 Onboard_service_extremely poor 1 3 0.0 0.00001
Non-Events % of Non-Events WoE IV
0 41153.0 0.999927 0.000073 5.313639e-09
1 3.0 0.000073 -1.981621 1.245357e-04
Information value of Onboard_service_good is 0.06538
Variable Cutoff N Events % of Events Non-Events \
0 Onboard_service_good 0 64544 32741.0 0.657965 31803.0
1 Onboard_service_good 1 26373 17020.0 0.342035 9353.0
% of Non-Events WoE IV
0 0.772743 -0.160794 0.018456
1 0.227257 0.408830 0.046925
Information value of Onboard_service_need improvement is 0.098218
Variable Cutoff N Events % of Events \
0 Onboard_service_need improvement 0 79899 46014.0 0.9247
1 Onboard_service_need improvement 1 11018 3747.0 0.0753
Non-Events % of Non-Events WoE IV
0 33885.0 0.823331 0.116111 0.011770
1 7271.0 0.176669 -0.852800 0.086448
Information value of Onboard_service_poor is 0.137266
Variable Cutoff N Events % of Events Non-Events \
0 Onboard_service_poor 0 82380 47460.0 0.953759 34920.0
1 Onboard_service_poor 1 8537 2301.0 0.046241 6236.0
% of Non-Events WoE IV
0 0.848479 0.116966 0.012314
1 0.151521 -1.186857 0.124952
Variable IV
0 CustomerID 0.716881
0 Gender 0.182616
0 Age 0.159803
0 Class 0.416098
0 Flight_Distance 0.203664
0 DepartureDelayin_Mins 0.026694
0 ArrivalDelayin_Mins 0.043593
0 Seat_comfort 1.903477
0 Gate_location 0.086835
0 Inflightwifi_service 0.251062
0 Inflight_entertainment 2.213031
0 Online_support 0.806214
0 Ease_of_Onlinebooking 0.903662
0 Leg_room_service 0.477786
0 Baggage_handling 0.405562
0 Checkin_service 0.336351
0 Cleanliness 0.394216
0 Online_boarding 0.519441
0 CustomerType_disloyal Customer 0.325447
0 TypeTravel_Personal Travel 0.043011
0 Departure.Arrival.time_convenient_excellent 0.000416
0 Departure.Arrival.time_convenient_extremely poor 0.000046
0 Departure.Arrival.time_convenient_good 0.002260
0 Departure.Arrival.time_convenient_need improve... 0.000631
0 Departure.Arrival.time_convenient_poor 0.005555
0 Food_drink_excellent 0.164293
0 Food_drink_extremely poor 0.044850
0 Food_drink_good 0.006616
0 Food_drink_need improvement 0.053255
0 Food_drink_poor 0.003236
0 Onboard_service_excellent 0.247861
0 Onboard_service_extremely poor 0.000125
0 Onboard_service_good 0.065380
0 Onboard_service_need improvement 0.098218
0 Onboard_service_poor 0.137266
# weight of eveidence binned and took care of some missing values
falcon.isnull().sum()
CustomerID 0 Gender 0 Age 0 Class 0 Flight_Distance 0 DepartureDelayin_Mins 0 ArrivalDelayin_Mins 284 Seat_comfort 0 Gate_location 0 Inflightwifi_service 0 Inflight_entertainment 0 Online_support 0 Ease_of_Onlinebooking 0 Leg_room_service 0 Baggage_handling 0 Checkin_service 0 Cleanliness 0 Online_boarding 0 Satisfaction_satisfied 0 CustomerType_disloyal Customer 0 TypeTravel_Personal Travel 0 Departure.Arrival.time_convenient_excellent 0 Departure.Arrival.time_convenient_extremely poor 0 Departure.Arrival.time_convenient_good 0 Departure.Arrival.time_convenient_need improvement 0 Departure.Arrival.time_convenient_poor 0 Food_drink_excellent 0 Food_drink_extremely poor 0 Food_drink_good 0 Food_drink_need improvement 0 Food_drink_poor 0 Onboard_service_excellent 0 Onboard_service_extremely poor 0 Onboard_service_good 0 Onboard_service_need improvement 0 Onboard_service_poor 0 dtype: int64
#dropping variables that are useless for prediction
#dropping unwanted variables based on information value
falcon_data= falcon.drop(['CustomerID','Gender','Ease_of_Onlinebooking','Online_support','Departure.Arrival.time_convenient_excellent','Departure.Arrival.time_convenient_extremely poor','Departure.Arrival.time_convenient_good','Departure.Arrival.time_convenient_need improvement','Departure.Arrival.time_convenient_poor','Food_drink_extremely poor','Food_drink_good','Food_drink_need improvement','Food_drink_poor','Onboard_service_extremely poor','Onboard_service_good','Onboard_service_need improvement','TypeTravel_Personal Travel','Online_boarding'], axis = 1)
falcon_data.info()
#new variables
<class 'pandas.core.frame.DataFrame'> Int64Index: 90917 entries, 0 to 90916 Data columns (total 18 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Age 90917 non-null int64 1 Class 90917 non-null int32 2 Flight_Distance 90917 non-null int64 3 DepartureDelayin_Mins 90917 non-null int64 4 ArrivalDelayin_Mins 90633 non-null float64 5 Seat_comfort 90917 non-null int32 6 Gate_location 90917 non-null int32 7 Inflightwifi_service 90917 non-null int32 8 Inflight_entertainment 90917 non-null int32 9 Leg_room_service 90917 non-null int32 10 Baggage_handling 90917 non-null int32 11 Checkin_service 90917 non-null int32 12 Cleanliness 90917 non-null int32 13 Satisfaction_satisfied 90917 non-null uint8 14 CustomerType_disloyal Customer 90917 non-null uint8 15 Food_drink_excellent 90917 non-null uint8 16 Onboard_service_excellent 90917 non-null uint8 17 Onboard_service_poor 90917 non-null uint8 dtypes: float64(1), int32(9), int64(3), uint8(5) memory usage: 7.0 MB
Remove outliers
#Changing from category to integer because KNN is sensitive to categorical variables
falcon_data["Class"]=falcon_data["Class"].astype("int")
falcon_data["Seat_comfort"]=falcon_data["Seat_comfort"].astype("int")
falcon_data["Gate_location"]=falcon_data["Gate_location"].astype("int")
falcon_data["Inflightwifi_service"]=falcon_data["Inflightwifi_service"].astype("int")
falcon_data["Inflight_entertainment"]=falcon_data["Inflight_entertainment"].astype("int")
falcon_data["Leg_room_service"]=falcon_data["Leg_room_service"].astype("int")
falcon_data["Baggage_handling"]=falcon_data["Baggage_handling"].astype("int")
falcon_data["Checkin_service"]=falcon_data["Checkin_service"].astype("int")
falcon_data["Cleanliness"]=falcon_data["Cleanliness"].astype("int")
falcon_data.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 90917 entries, 0 to 90916 Data columns (total 18 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Age 90917 non-null int64 1 Class 90917 non-null int32 2 Flight_Distance 90917 non-null int64 3 DepartureDelayin_Mins 90917 non-null int64 4 ArrivalDelayin_Mins 90633 non-null float64 5 Seat_comfort 90917 non-null int32 6 Gate_location 90917 non-null int32 7 Inflightwifi_service 90917 non-null int32 8 Inflight_entertainment 90917 non-null int32 9 Leg_room_service 90917 non-null int32 10 Baggage_handling 90917 non-null int32 11 Checkin_service 90917 non-null int32 12 Cleanliness 90917 non-null int32 13 Satisfaction_satisfied 90917 non-null uint8 14 CustomerType_disloyal Customer 90917 non-null uint8 15 Food_drink_excellent 90917 non-null uint8 16 Onboard_service_excellent 90917 non-null uint8 17 Onboard_service_poor 90917 non-null uint8 dtypes: float64(1), int32(9), int64(3), uint8(5) memory usage: 7.0 MB
variable transformation
#scaling to avoid bias
from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler()
falcon_airline_data= pd.DataFrame(scaler.fit_transform(falcon_data), columns = falcon_data.columns)
falcon_airline_data.head()
| Age | Class | Flight_Distance | DepartureDelayin_Mins | ArrivalDelayin_Mins | Seat_comfort | Gate_location | Inflightwifi_service | Inflight_entertainment | Leg_room_service | Baggage_handling | Checkin_service | Cleanliness | Satisfaction_satisfied | CustomerType_disloyal Customer | Food_drink_excellent | Onboard_service_excellent | Onboard_service_poor | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.743590 | 0.5 | 0.031159 | 0.0 | 0.0 | 0.4 | 0.6 | 0.8 | 0.6 | 0.4 | 0.00 | 0.2 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1 | 0.102564 | 0.5 | 0.302609 | 0.0 | 0.0 | 0.4 | 0.4 | 0.8 | 0.4 | 0.0 | 0.50 | 0.6 | 0.6 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2 | 0.679487 | 0.5 | 0.083043 | 0.0 | 0.0 | 0.4 | 0.4 | 0.0 | 0.6 | 0.4 | 1.00 | 0.6 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 3 | 0.807692 | 0.5 | 0.044058 | 0.0 | 0.0 | 0.4 | 0.4 | 0.6 | 0.0 | 0.4 | 0.75 | 0.6 | 0.8 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4 | 0.294872 | 0.5 | 0.267246 | 0.0 | 0.0 | 0.4 | 0.4 | 0.8 | 0.4 | 0.6 | 0.25 | 0.2 | 0.6 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 |
#using KNN to treat missing values
from sklearn.impute import KNNImputer
imputer = KNNImputer(n_neighbors=5)
falcon_airline_data= pd.DataFrame(imputer.fit_transform(falcon_airline_data),columns = falcon_airline_data.columns)
falcon_airline_data.head()
| Age | Class | Flight_Distance | DepartureDelayin_Mins | ArrivalDelayin_Mins | Seat_comfort | Gate_location | Inflightwifi_service | Inflight_entertainment | Leg_room_service | Baggage_handling | Checkin_service | Cleanliness | Satisfaction_satisfied | CustomerType_disloyal Customer | Food_drink_excellent | Onboard_service_excellent | Onboard_service_poor | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.743590 | 0.5 | 0.031159 | 0.0 | 0.0 | 0.4 | 0.6 | 0.8 | 0.6 | 0.4 | 0.00 | 0.2 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1 | 0.102564 | 0.5 | 0.302609 | 0.0 | 0.0 | 0.4 | 0.4 | 0.8 | 0.4 | 0.0 | 0.50 | 0.6 | 0.6 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2 | 0.679487 | 0.5 | 0.083043 | 0.0 | 0.0 | 0.4 | 0.4 | 0.0 | 0.6 | 0.4 | 1.00 | 0.6 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 |
| 3 | 0.807692 | 0.5 | 0.044058 | 0.0 | 0.0 | 0.4 | 0.4 | 0.6 | 0.0 | 0.4 | 0.75 | 0.6 | 0.8 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4 | 0.294872 | 0.5 | 0.267246 | 0.0 | 0.0 | 0.4 | 0.4 | 0.8 | 0.4 | 0.6 | 0.25 | 0.2 | 0.6 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 |
falcon_airline_data.isnull().sum()
Age 0 Class 0 Flight_Distance 0 DepartureDelayin_Mins 0 ArrivalDelayin_Mins 0 Seat_comfort 0 Gate_location 0 Inflightwifi_service 0 Inflight_entertainment 0 Leg_room_service 0 Baggage_handling 0 Checkin_service 0 Cleanliness 0 Satisfaction_satisfied 0 CustomerType_disloyal Customer 0 Food_drink_excellent 0 Onboard_service_excellent 0 Onboard_service_poor 0 dtype: int64
falcon_airline_data.describe()
| Age | Class | Flight_Distance | DepartureDelayin_Mins | ArrivalDelayin_Mins | Seat_comfort | Gate_location | Inflightwifi_service | Inflight_entertainment | Leg_room_service | Baggage_handling | Checkin_service | Cleanliness | Satisfaction_satisfied | CustomerType_disloyal Customer | Food_drink_excellent | Onboard_service_excellent | Onboard_service_poor | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 90917.000000 | 90917.000000 | 90917.000000 | 90917.000000 | 90917.000000 | 90917.000000 | 90917.000000 | 90917.000000 | 90917.000000 | 90917.000000 | 90917.000000 | 90917.00000 | 90917.000000 | 90917.000000 | 90917.000000 | 90917.000000 | 90917.000000 | 90917.000000 |
| mean | 0.415989 | 0.297007 | 0.279946 | 0.009225 | 0.009506 | 0.510499 | 0.369141 | 0.470887 | 0.457734 | 0.456847 | 0.392625 | 0.42330 | 0.421994 | 0.547323 | 0.164117 | 0.142405 | 0.224336 | 0.093899 |
| std | 0.193972 | 0.310999 | 0.148809 | 0.024290 | 0.024617 | 0.362671 | 0.272681 | 0.348574 | 0.323900 | 0.323779 | 0.273359 | 0.35288 | 0.305012 | 0.497758 | 0.370383 | 0.349467 | 0.417147 | 0.291690 |
| min | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 25% | 0.256410 | 0.000000 | 0.189855 | 0.000000 | 0.000000 | 0.200000 | 0.200000 | 0.200000 | 0.200000 | 0.200000 | 0.250000 | 0.00000 | 0.200000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 50% | 0.423077 | 0.500000 | 0.272029 | 0.000000 | 0.000000 | 0.600000 | 0.400000 | 0.600000 | 0.600000 | 0.600000 | 0.500000 | 0.60000 | 0.600000 | 1.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 75% | 0.564103 | 0.500000 | 0.361159 | 0.007538 | 0.008207 | 0.800000 | 0.600000 | 0.800000 | 0.600000 | 0.800000 | 0.500000 | 0.60000 | 0.600000 | 1.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| max | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.00000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 |
plt.figure(figsize=(20,10))
sns.heatmap(falcon_airline_data.corr(),annot=True)
plt.show()
Age has a weak positive correlation with satisfaction Class also has a weak correlation with checkin service and onboard service poor, this could be because business class passengers have high expectations of service that should be offered to them and it is more likely that falcon airline is meeting up. flight distance is positively correlated to delay on both arrival and departure but it doesn't mean that the longer the distance the longer the delay, however short or longer distance could be taken by the airline to save cost. arrival delay in min shares a strong positive correlation with departure delay in mins Seat comfort is positively correlated to baggage handling, it could be that if all bags are placed in the over head compartment passengers could be more comfortable Gate location is strongly correlated with food drink that was rated excellent by passengers Inflight entertainment is postively correlrated to inflight wifi service Leg room, cleanliness,baggage handling,seat comfort and Onboard service rated poor by passengers share a weak or poor correlation
#treating outliers
# outlier detection using boxplot
numerical_col = falcon_airline_data.select_dtypes(include=np.number).columns.tolist()
plt.figure(figsize=(20,30))
for i, variable in enumerate(numerical_col):
plt.subplot(5,4,i+1)
plt.boxplot(falcon_airline_data[variable],whis=1.5)
plt.tight_layout()
plt.title(variable)
plt.show()
cols_to_log = ['ArrivalDelayin_Mins', 'Flight_Distance','DepartureDelayin_Mins']
for colname in cols_to_log:
plt.hist(falcon_airline_data[colname], bins=50)
plt.title(colname)
plt.show()
print(np.sum(falcon_airline_data[colname] <= 0))
50949
16
51338
plt.hist(np.log(falcon_airline_data['ArrivalDelayin_Mins'] + 1), 50)
plt.title('log(ArrivalDelayin_Mins + 1)')
plt.show()
plt.hist(np.arcsinh(falcon_airline_data['ArrivalDelayin_Mins']), 50)
plt.title('arcsinh(ArrivalDelayin_Mins)')
plt.show()
plt.hist(np.sqrt(falcon_airline_data['ArrivalDelayin_Mins']), 50)
plt.title('sqrt(ArrivalDelayin_Mins)')
plt.show()
plt.hist(np.log(falcon_airline_data['DepartureDelayin_Mins'] + 1), 50)
plt.title('log(DepartureDelayin_Mins + 1)')
plt.show()
plt.hist(np.arcsinh(falcon_airline_data['DepartureDelayin_Mins']), 50)
plt.title('arcsinh(DepartureDelayin_Mins)')
plt.show()
plt.hist(np.sqrt(falcon_airline_data['DepartureDelayin_Mins']), 50)
plt.title('sqrt(DepartureDelayin_Mins)')
plt.show()
plt.hist(np.log(falcon_airline_data['Flight_Distance'] + 1), 50)
plt.title('log(Flight_Distance + 1)')
plt.show()
plt.hist(np.arcsinh(falcon_airline_data['Flight_Distance']), 50)
plt.title('arcsinh(Flight_Distance)')
plt.show()
plt.hist(np.sqrt(falcon_airline_data['Flight_Distance']), 50)
plt.title('sqrt(Flight_Distance)')
plt.show()
for colname in cols_to_log:
falcon_airline_data[colname + '_log'] = np.log(falcon_airline_data[colname] + 1)
falcon_airline_data.drop(cols_to_log, axis=1, inplace=True)
Exploratory data analysis
falcon_airline_data.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 90917 entries, 0 to 90916 Data columns (total 18 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Age 90917 non-null float64 1 Class 90917 non-null float64 2 Seat_comfort 90917 non-null float64 3 Gate_location 90917 non-null float64 4 Inflightwifi_service 90917 non-null float64 5 Inflight_entertainment 90917 non-null float64 6 Leg_room_service 90917 non-null float64 7 Baggage_handling 90917 non-null float64 8 Checkin_service 90917 non-null float64 9 Cleanliness 90917 non-null float64 10 Satisfaction_satisfied 90917 non-null float64 11 CustomerType_disloyal Customer 90917 non-null float64 12 Food_drink_excellent 90917 non-null float64 13 Onboard_service_excellent 90917 non-null float64 14 Onboard_service_poor 90917 non-null float64 15 ArrivalDelayin_Mins_log 90917 non-null float64 16 Flight_Distance_log 90917 non-null float64 17 DepartureDelayin_Mins_log 90917 non-null float64 dtypes: float64(18) memory usage: 12.5 MB
def histogram_boxplot(feature, figsize=(15,10), bins = None):
""" Boxplot and histogram combined
feature: 1-d feature array
figsize: size of fig (default (9,8))
bins: number of bins (default None / auto)
"""
f2, (ax_box2, ax_hist2) = plt.subplots(nrows = 2, # Number of rows of the subplot grid= 2
sharex = True, # x-axis will be shared among all subplots
gridspec_kw = {"height_ratios": (.25, .75)},
figsize = figsize
) # creating the 2 subplots
sns.boxplot(feature, ax=ax_box2, showmeans=True, color='white') # boxplot will be created and a star will indicate the mean value of the column
sns.distplot(feature, kde=F, ax=ax_hist2, bins=bins,palette="PuBu") if bins else sns.distplot(feature, kde=False, ax=ax_hist2) # For histogram
ax_hist2.axvline(np.mean(feature), color='green', linestyle='--') # Add mean to the histogram
ax_hist2.axvline(np.median(feature), color='black', linestyle='-') # Add median to the histogram
histogram_boxplot(falcon_airline_data["Age"])
C:\Users\user\anaconda3\lib\site-packages\seaborn\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation. warnings.warn( C:\Users\user\anaconda3\lib\site-packages\seaborn\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning)
histogram_boxplot(falcon_airline_data["Flight_Distance_log"])
histogram_boxplot(falcon_airline_data["ArrivalDelayin_Mins_log"])
histogram_boxplot(falcon_airline_data["DepartureDelayin_Mins_log"])
C:\Users\user\anaconda3\lib\site-packages\seaborn\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation. warnings.warn( C:\Users\user\anaconda3\lib\site-packages\seaborn\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms). warnings.warn(msg, FutureWarning)
#Change data back to categorical
falcon_airline_data["Class"]=falcon_airline_data["Class"].astype("category")
falcon_airline_data["Seat_comfort"]=falcon_airline_data["Seat_comfort"].astype("category")
falcon_airline_data["Gate_location"]=falcon_airline_data["Gate_location"].astype("category")
falcon_airline_data["Inflightwifi_service"]=falcon_airline_data["Inflightwifi_service"].astype("category")
falcon_airline_data["Inflight_entertainment"]=falcon_airline_data["Inflight_entertainment"].astype("category")
falcon_airline_data["Leg_room_service"]=falcon_airline_data["Leg_room_service"].astype("category")
falcon_airline_data["Baggage_handling"]=falcon_airline_data["Baggage_handling"].astype("category")
falcon_airline_data["Checkin_service"]=falcon_airline_data["Checkin_service"].astype("category")
falcon_airline_data["Cleanliness"]=falcon_airline_data["Cleanliness"].astype("category")
falcon_airline_data["Satisfaction_satisfied"]=falcon_airline_data["Satisfaction_satisfied"].astype("category")
falcon_airline_data["CustomerType_disloyal Customer"]=falcon_airline_data["CustomerType_disloyal Customer"].astype("category")
falcon_airline_data["Food_drink_excellent"]=falcon_airline_data["Food_drink_excellent"].astype("category")
falcon_airline_data["Onboard_service_excellent"]=falcon_airline_data["Onboard_service_excellent"].astype("category")
falcon_airline_data["Onboard_service_poor"]=falcon_airline_data["Onboard_service_poor"].astype("category")
def stacked_plot(x):
sns.set(palette='nipy_spectral')
tab1 = pd.crosstab(x,falcon_airline_data['Satisfaction_satisfied'],margins=True)
print(tab1)
print('-'*120)
tab = pd.crosstab(x,falcon_airline_data['Satisfaction_satisfied'],normalize='index')
tab.plot(kind='bar',stacked=True,figsize=(10,5))
plt.legend(loc='lower left', frameon=False)
plt.legend(loc="upper left", bbox_to_anchor=(1,1))
plt.show()
categorical_val = ['Class','Seat_comfort','Gate_location','Inflightwifi_service','Satisfaction_satisfied','Baggage_handling','Checkin_service','Cleanliness','CustomerType_disloyal Customer','Food_drink_excellent','Onboard_service_excellent','Onboard_service_poor','Leg_room_service']
plt.figure(figsize=(9,9))
for i , column in enumerate(categorical_val,1):
stacked_plot(falcon_airline_data[column])
plt.xlabel(column)
Satisfaction_satisfied 0.0 1.0 All Class 0.0 12600 30935 43535 0.5 24755 16003 40758 1.0 3801 2823 6624 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
<Figure size 648x648 with 0 Axes>
Satisfaction_satisfied 0.0 1.0 All Seat_comfort 0.0 13274 7278 20552 0.2 97 12422 12519 0.4 6 3362 3368 0.6000000000000001 6878 12911 19789 0.8 12904 7098 20002 1.0 7997 6690 14687 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
Satisfaction_satisfied 0.0 1.0 All Gate_location 0.0 10621 10467 21088 0.2 6133 9743 15876 0.4 12585 10800 23385 0.6000000000000001 7222 9891 17113 0.8 4595 8859 13454 1.0 0 1 1 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
Satisfaction_satisfied 0.0 1.0 All Inflightwifi_service 0.0 9382 9817 19199 0.2 6753 13505 20258 0.4 53 43 96 0.6000000000000001 7994 14165 22159 0.8 9447 9447 18894 1.0 7527 2784 10311 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
Satisfaction_satisfied 0.0 1.0 All Satisfaction_satisfied 0.0 41156 0 41156 1.0 0 49761 49761 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
Satisfaction_satisfied 0.0 1.0 All Baggage_handling 0.0 11771 5462 17233 0.25 6629 18373 25002 0.5 13927 19895 33822 0.75 5627 3674 9301 1.0 3202 2357 5559 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
Satisfaction_satisfied 0.0 1.0 All Checkin_service 0.0 10832 14109 24941 0.2 5005 13913 18918 0.4 1 0 1 0.6000000000000001 10728 14755 25483 0.8 7238 3575 10813 1.0 7352 3409 10761 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
Satisfaction_satisfied 0.0 1.0 All Cleanliness 0.0 11543 5387 16930 0.2 6730 18349 25079 0.4 4 0 4 0.6000000000000001 14151 20095 34246 0.8 5544 3739 9283 1.0 3184 2191 5375 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
Satisfaction_satisfied 0.0 1.0 All CustomerType_disloyal Customer 0.0 29805 46191 75996 1.0 11351 3570 14921 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
Satisfaction_satisfied 0.0 1.0 All Food_drink_excellent 0.0 38305 39665 77970 1.0 2851 10096 12947 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
Satisfaction_satisfied 0.0 1.0 All Onboard_service_excellent 0.0 36387 34134 70521 1.0 4769 15627 20396 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
Satisfaction_satisfied 0.0 1.0 All Onboard_service_poor 0.0 34920 47460 82380 1.0 6236 2301 8537 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
Satisfaction_satisfied 0.0 1.0 All Leg_room_service 0.0 9952 5823 15775 0.2 7018 17053 24071 0.4 104 218 322 0.6000000000000001 9051 18763 27814 0.8 9475 5681 15156 1.0 5556 2223 7779 All 41156 49761 90917 ------------------------------------------------------------------------------------------------------------------------
def perc_on_bar(plot, feature):
'''
plot
feature: categorical feature
the function won't work if a column is passed in hue parameter
'''
total = len(feature) # length of the column
for p in ax.patches:
percentage = '{:.1f}%'.format(100 * p.get_height()/total) # percentage of each class of the category
x = p.get_x() + p.get_width() / 2 - 0.05 # width of the plot
y = p.get_y() + p.get_height() # hieght of the plot
ax.annotate(percentage, (x, y), size = 12) # annotate the percantage
plt.show() # show the plot
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["Satisfaction_satisfied"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["Satisfaction_satisfied"])
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["Seat_comfort"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["Seat_comfort"])
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["Gate_location"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["Gate_location"])
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["Cleanliness"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["Cleanliness"])
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["Checkin_service"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["Checkin_service"])
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["Inflightwifi_service"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["Inflightwifi_service"])
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["Inflight_entertainment"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["Inflight_entertainment"])
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["Leg_room_service"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["Leg_room_service"])
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["Baggage_handling"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["Baggage_handling"])
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["CustomerType_disloyal Customer"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["CustomerType_disloyal Customer"])
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["Food_drink_excellent"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["Food_drink_excellent"])
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["Onboard_service_excellent"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["Onboard_service_excellent"])
plt.figure(figsize=(15,5))
ax = sns.countplot(falcon_airline_data["Onboard_service_poor"],palette='PuBu')
perc_on_bar(ax,falcon_airline_data["Onboard_service_poor"])
sns.pairplot(falcon_airline_data,hue="Satisfaction_satisfied")
plt.show()
C:\Users\Osilade\anaconda3\lib\site-packages\seaborn\distributions.py:369: UserWarning: Default bandwidth for data is 0; skipping density estimation. warnings.warn(msg, UserWarning) C:\Users\Osilade\anaconda3\lib\site-packages\seaborn\distributions.py:369: UserWarning: Default bandwidth for data is 0; skipping density estimation. warnings.warn(msg, UserWarning) C:\Users\Osilade\anaconda3\lib\site-packages\seaborn\distributions.py:369: UserWarning: Default bandwidth for data is 0; skipping density estimation. warnings.warn(msg, UserWarning) C:\Users\Osilade\anaconda3\lib\site-packages\seaborn\distributions.py:369: UserWarning: Default bandwidth for data is 0; skipping density estimation. warnings.warn(msg, UserWarning) C:\Users\Osilade\anaconda3\lib\site-packages\seaborn\distributions.py:369: UserWarning: Default bandwidth for data is 0; skipping density estimation. warnings.warn(msg, UserWarning) C:\Users\Osilade\anaconda3\lib\site-packages\seaborn\distributions.py:369: UserWarning: Default bandwidth for data is 0; skipping density estimation. warnings.warn(msg, UserWarning)
plt.figure(figsize=(15,7))
sns.countplot(falcon_airline_data["Onboard_service_poor"],hue=falcon_airline_data["Satisfaction_satisfied"],palette="viridis")
plt.legend(bbox_to_anchor=(1.00, 1))
plt.show()
plt.figure(figsize=(15,13))
sns.scatterplot(falcon_airline_data["ArrivalDelayin_Mins_log"],falcon_airline_data["DepartureDelayin_Mins_log"],hue=falcon_airline_data["Satisfaction_satisfied"],palette="viridis")
plt.legend(bbox_to_anchor=(1.00, 1))
plt.show()
plt.figure(figsize=(15,7))
sns.countplot(falcon_airline_data["Food_drink_excellent"],hue=falcon_airline_data["Satisfaction_satisfied"],palette="viridis")
plt.legend(bbox_to_anchor=(1.00, 1))
plt.show()
plt.figure(figsize=(15,7))
sns.countplot(falcon_airline_data["Age"],hue=falcon_airline_data["Satisfaction_satisfied"],palette="viridis")
plt.legend(bbox_to_anchor=(1.00, 1))
plt.show()
plt.figure(figsize=(15,7))
sns.boxplot(falcon_airline_data["Seat_comfort"],falcon_airline_data["Flight_Distance_log"],palette="viridis")
plt.show()
plt.figure(figsize=(15,7))
sns.boxplot(falcon_airline_data["Satisfaction_satisfied"],falcon_airline_data["Flight_Distance_log"],palette="viridis")
plt.show()
plt.figure(figsize=(15,7))
sns.scatterplot(falcon_airline_data["Flight_Distance_log"],falcon_airline_data["Inflight_entertainment"],hue=falcon_airline_data["Inflightwifi_service"],palette="viridis")
plt.legend(bbox_to_anchor=(1.00, 1))
plt.show()
plt.figure(figsize=(15,7))
sns.boxplot(falcon_airline_data["Flight_Distance_log"],falcon_airline_data["Inflight_entertainment"],hue=falcon_airline_data["Satisfaction_satisfied"],palette="viridis")
plt.legend(bbox_to_anchor=(1.00, 1))
plt.show()
Evaluating satisfied
print('No. of 0s' , (falcon_airline_data.Satisfaction_satisfied== 0).sum(axis=0))
print('No. of 1s' , (falcon_airline_data.Satisfaction_satisfied == 1).sum(axis=0))
No. of 0s 41156 No. of 1s 49761
#defining X and Y
X = falcon_airline_data.drop(['Satisfaction_satisfied'], axis=1)
Y = falcon_airline_data[['Satisfaction_satisfied']]
#split the data into train and test
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.3, random_state=42)
print('Original dataset', Y.Satisfaction_satisfied.value_counts(normalize=True))
print('Train dataset', y_train.Satisfaction_satisfied.value_counts(normalize=True))
print('Test dataset', y_test.Satisfaction_satisfied.value_counts(normalize=True))
Original dataset 1.0 0.547323 0.0 0.452677 Name: Satisfaction_satisfied, dtype: float64 Train dataset 1.0 0.54787 0.0 0.45213 Name: Satisfaction_satisfied, dtype: float64 Test dataset 1.0 0.546048 0.0 0.453952 Name: Satisfaction_satisfied, dtype: float64
print("Number of rows in train data =", X_train.shape[0])
print("Number of rows in train data =", X_test.shape[0])
Number of rows in train data = 63641 Number of rows in train data = 17
print("Number of rows in train data =", y_train.shape[0])
print("Number of rows in train data =", y_test.shape[0])
Number of rows in train data = 63641 Number of rows in train data = 27276
X_train.shape, X_test.shape
((63641, 17), (27276, 17))
Logistic regression
# dataframe with numerical column only
num_feature_set = X.copy()
from statsmodels.tools.tools import add_constant
num_feature_set = add_constant(num_feature_set)
from statsmodels.stats.outliers_influence import variance_inflation_factor
vif_series1 = pd.Series([variance_inflation_factor(num_feature_set.values,i) for i in range(num_feature_set.shape[1])],index=num_feature_set.columns)
print('Series before feature selection: \n\n{}\n'.format(vif_series1))
Series before feature selection: const 29.464758 Age 1.189217 Class 1.089495 Seat_comfort 1.364746 Gate_location 1.216090 Inflightwifi_service 1.038377 Inflight_entertainment 1.308352 Leg_room_service 1.146050 Baggage_handling 1.244141 Checkin_service 1.042327 Cleanliness 1.271857 CustomerType_disloyal Customer 1.096704 Food_drink_excellent 1.231664 Onboard_service_excellent 1.126160 Onboard_service_poor 1.073940 ArrivalDelayin_Mins_log 12.475497 Flight_Distance_log 1.129920 DepartureDelayin_Mins_log 12.479896 dtype: float64
import statsmodels.api as sm
logit = sm.Logit(y_train, X_train)
lg = logit.fit()
print(lg.summary())
Optimization terminated successfully.
Current function value: 0.552050
Iterations 6
Logit Regression Results
==================================================================================
Dep. Variable: Satisfaction_satisfied No. Observations: 63641
Model: Logit Df Residuals: 63624
Method: MLE Df Model: 16
Date: Wed, 09 Jun 2021 Pseudo R-squ.: 0.1983
Time: 21:42:57 Log-Likelihood: -35133.
converged: True LL-Null: -43820.
Covariance Type: nonrobust LLR p-value: 0.000
==================================================================================================
coef std err z P>|z| [0.025 0.975]
--------------------------------------------------------------------------------------------------
Age 1.0956 0.041 26.667 0.000 1.015 1.176
Class -1.4498 0.029 -49.577 0.000 -1.507 -1.392
Seat_comfort -0.0781 0.029 -2.696 0.007 -0.135 -0.021
Gate_location 0.0504 0.036 1.412 0.158 -0.020 0.120
Inflightwifi_service -0.3031 0.026 -11.495 0.000 -0.355 -0.251
Inflight_entertainment -0.1600 0.032 -5.027 0.000 -0.222 -0.098
Leg_room_service 0.0478 0.030 1.614 0.107 -0.010 0.106
Baggage_handling 0.4990 0.037 13.466 0.000 0.426 0.572
Checkin_service -0.7154 0.026 -27.524 0.000 -0.766 -0.664
Cleanliness 0.4731 0.034 14.038 0.000 0.407 0.539
CustomerType_disloyal Customer -1.4093 0.028 -50.552 0.000 -1.464 -1.355
Food_drink_excellent 1.3025 0.032 41.179 0.000 1.241 1.365
Onboard_service_excellent 1.2856 0.024 53.754 0.000 1.239 1.333
Onboard_service_poor -0.9721 0.035 -27.616 0.000 -1.041 -0.903
ArrivalDelayin_Mins_log -8.4393 1.413 -5.971 0.000 -11.210 -5.669
Flight_Distance_log 0.6714 0.069 9.716 0.000 0.536 0.807
DepartureDelayin_Mins_log 1.4700 1.431 1.027 0.304 -1.335 4.275
==================================================================================================
X_train1 = X_train.drop('ArrivalDelayin_Mins_log', axis = 1)
X_test1 = X_test.drop('ArrivalDelayin_Mins_log', axis = 1)
logit1 = sm.Logit(y_train, X_train1)
lg1 = logit1.fit()
print(lg1.summary())
Optimization terminated successfully.
Current function value: 0.552331
Iterations 6
Logit Regression Results
==================================================================================
Dep. Variable: Satisfaction_satisfied No. Observations: 63641
Model: Logit Df Residuals: 63625
Method: MLE Df Model: 15
Date: Wed, 09 Jun 2021 Pseudo R-squ.: 0.1978
Time: 21:18:10 Log-Likelihood: -35151.
converged: True LL-Null: -43820.
Covariance Type: nonrobust LLR p-value: 0.000
==================================================================================================
coef std err z P>|z| [0.025 0.975]
--------------------------------------------------------------------------------------------------
Age 1.0932 0.041 26.616 0.000 1.013 1.174
Class -1.4511 0.029 -49.639 0.000 -1.508 -1.394
Seat_comfort -0.0779 0.029 -2.690 0.007 -0.135 -0.021
Gate_location 0.0498 0.036 1.396 0.163 -0.020 0.120
Inflightwifi_service -0.3042 0.026 -11.542 0.000 -0.356 -0.253
Inflight_entertainment -0.1605 0.032 -5.044 0.000 -0.223 -0.098
Leg_room_service 0.0482 0.030 1.627 0.104 -0.010 0.106
Baggage_handling 0.4987 0.037 13.464 0.000 0.426 0.571
Checkin_service -0.7171 0.026 -27.599 0.000 -0.768 -0.666
Cleanliness 0.4726 0.034 14.028 0.000 0.407 0.539
CustomerType_disloyal Customer -1.4091 0.028 -50.562 0.000 -1.464 -1.355
Food_drink_excellent 1.3032 0.032 41.209 0.000 1.241 1.365
Onboard_service_excellent 1.2854 0.024 53.761 0.000 1.239 1.332
Onboard_service_poor -0.9720 0.035 -27.622 0.000 -1.041 -0.903
Flight_Distance_log 0.6656 0.069 9.636 0.000 0.530 0.801
DepartureDelayin_Mins_log -6.6779 0.437 -15.281 0.000 -7.534 -5.821
==================================================================================================
# Let's check accuracy and recall for this model
from sklearn.metrics import accuracy_score, recall_score, precision_score, f1_score
pred_train1 = lg1.predict(X_train1)
pred_test1 = lg1.predict(X_test1)
pred_train1 = np.round(pred_train1)
pred_test1 = np.round(pred_test1)
print('Accuracy on train data:',accuracy_score(y_train, pred_train1) )
print('Accuracy on test data:',accuracy_score(y_test, pred_test1))
print('Recall on train data:',recall_score(y_train, pred_train1) )
print('Recall on test data:',recall_score(y_test, pred_test1))
print('Precision on train data:',precision_score(y_train, pred_train1) )
print('Precision on test data:',precision_score(y_test, pred_test1))
print('f1 score on train data:',f1_score(y_train, pred_train1) )
print('f1 score on test data:',f1_score(y_test, pred_test1))
Accuracy on train data: 0.722600210556088 Accuracy on test data: 0.7210368089162634 Recall on train data: 0.7656523360197321 Recall on test data: 0.7593661877266014 Precision on train data: 0.7378866193095442 Precision on test data: 0.7375285295076622 f1 score on train data: 0.7515131041860204 f1 score on test data: 0.748288067749512
get_metrics_score(lg)
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-54-043581285b14> in <module> ----> 1 get_metrics_score(lg) <ipython-input-41-e33192a998fd> in get_metrics_score(model, flag) 11 pred_test = model.predict(X_test) 12 ---> 13 train_acc = model.score(X_train,y_train) 14 test_acc = model.score(X_test,y_test) 15 ~\anaconda3\lib\site-packages\statsmodels\base\wrapper.py in __getattribute__(self, attr) 34 pass 35 ---> 36 obj = getattr(results, attr) 37 data = results.model.data 38 how = self._wrap_attrs.get(attr) AttributeError: 'LogitResults' object has no attribute 'score'
Optimal Threshold
# Optimal threshold as per AUC-ROC curve
# The optimal cut off would be where tpr is high and fpr is low
from sklearn import metrics
fpr, tpr, thresholds = metrics.roc_curve(y_test, lg1.predict(X_train1))
optimal_idx = np.argmax(tpr - fpr)
optimal_threshold = thresholds[optimal_idx]
print(optimal_threshold)
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-46-98db807911bd> in <module> 2 # The optimal cut off would be where tpr is high and fpr is low 3 from sklearn import metrics ----> 4 fpr, tpr, thresholds = metrics.roc_curve(y_test, lg1.predict(X_train1)) 5 6 optimal_idx = np.argmax(tpr - fpr) ~\anaconda3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args, **kwargs) 61 extra_args = len(args) - len(all_args) 62 if extra_args <= 0: ---> 63 return f(*args, **kwargs) 64 65 # extra_args > 0 ~\anaconda3\lib\site-packages\sklearn\metrics\_ranking.py in roc_curve(y_true, y_score, pos_label, sample_weight, drop_intermediate) 911 912 """ --> 913 fps, tps, thresholds = _binary_clf_curve( 914 y_true, y_score, pos_label=pos_label, sample_weight=sample_weight) 915 ~\anaconda3\lib\site-packages\sklearn\metrics\_ranking.py in _binary_clf_curve(y_true, y_score, pos_label, sample_weight) 691 raise ValueError("{0} format is not supported".format(y_type)) 692 --> 693 check_consistent_length(y_true, y_score, sample_weight) 694 y_true = column_or_1d(y_true) 695 y_score = column_or_1d(y_score) ~\anaconda3\lib\site-packages\sklearn\utils\validation.py in check_consistent_length(*arrays) 317 uniques = np.unique(lengths) 318 if len(uniques) > 1: --> 319 raise ValueError("Found input variables with inconsistent numbers of" 320 " samples: %r" % [int(l) for l in lengths]) 321 ValueError: Found input variables with inconsistent numbers of samples: [27276, 63641]
# make confusion matrix on train set
confusion_matrix(y_train,pred_train1)
array([[19291, 9483],
[ 8171, 26696]], dtype=int64)
# make confusion matrix on test set
confusion_matrix(y_test,pred_test1)
array([[ 8357, 4025],
[ 3584, 11310]], dtype=int64)
#AUC ROC curve
from sklearn.metrics import roc_auc_score
from sklearn.metrics import roc_curve
logit_roc_auc = roc_auc_score(y_test, lg.predict(X_test))
fpr, tpr, thresholds = roc_curve(y_test, lg.predict(X_test))
plt.figure(figsize=(13,8))
plt.plot(fpr, tpr, label='Logistic Regression (area = %0.2f)' % logit_roc_auc)
plt.plot([0, 1], [0, 1],'r--')
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel('False Positive Rate')
plt.ylabel('True Positive Rate')
plt.title('Receiver operating characteristic')
plt.legend(loc="lower right")
plt.savefig('Log_ROC')
plt.show()
## Function to calculate different metric scores of the model - Accuracy, Recall and Precision
def get_metrics_score(model,flag=True):
'''
model : classifier to predict values of X
'''
# defining an empty list to store train and test results
score_list=[]
pred_train = model.predict(X_train)
pred_test = model.predict(X_test)
train_acc = model.score(X_train,y_train)
test_acc = model.score(X_test,y_test)
train_recall = metrics.recall_score(y_train,pred_train)
test_recall = metrics.recall_score(y_test,pred_test)
train_precision = metrics.precision_score(y_train,pred_train)
test_precision = metrics.precision_score(y_test,pred_test)
score_list.extend((train_acc,test_acc,train_recall,test_recall,train_precision,test_precision))
# If the flag is set to True then only the following print statements will be dispayed. The default value is set to True.
if flag == True:
print("Accuracy on training set : ",model.score(X_train,y_train))
print("Accuracy on test set : ",model.score(X_test,y_test))
print("Recall on training set : ",metrics.recall_score(y_train,pred_train))
print("Recall on test set : ",metrics.recall_score(y_test,pred_test))
print("Precision on training set : ",metrics.precision_score(y_train,pred_train))
print("Precision on test set : ",metrics.precision_score(y_test,pred_test))
return score_list # returning the list with train and test scores
## Function to create confusion matrix
def make_confusion_matrix(model,y_actual,labels=[1, 0]):
'''
model : classifier to predict values of X
y_actual : ground truth
'''
y_predict = model.predict(X_test)
cm=metrics.confusion_matrix( y_actual, y_predict, labels=[0, 1])
df_cm = pd.DataFrame(cm, index = [i for i in ["Actual - No","Actual - Yes"]],
columns = [i for i in ['Predicted - No','Predicted - Yes']])
group_counts = ["{0:0.0f}".format(value) for value in
cm.flatten()]
group_percentages = ["{0:.2%}".format(value) for value in
cm.flatten()/np.sum(cm)]
labels = [f"{v1}\n{v2}" for v1, v2 in
zip(group_counts,group_percentages)]
labels = np.asarray(labels).reshape(2,2)
plt.figure(figsize = (10,7))
sns.heatmap(df_cm, annot=labels,fmt='')
plt.ylabel('True label')
plt.xlabel('Predicted label')
Decision trees
#Fitting the model
d_tree = DecisionTreeClassifier(random_state=1)
d_tree.fit(X_train,y_train)
#Calculating different metrics
get_metrics_score(d_tree)
#Creating confusion matrix
make_confusion_matrix(d_tree,y_test)
Accuracy on training set : 1.0 Accuracy on test set : 0.9023317201935768 Recall on training set : 1.0 Recall on test set : 0.9102994494427287 Precision on training set : 1.0 Precision on test set : 0.910788660486363
Pruning
path = d_tree.cost_complexity_pruning_path(X_train, y_train)
ccp_alphas, impurities = path.ccp_alphas, path.impurities
clfs_list = []
for ccp_alpha in ccp_alphas:
clf = DecisionTreeClassifier(random_state=1, ccp_alpha=ccp_alpha)
clf.fit(X_train, y_train)
clfs_list.append(clf)
print("Number of nodes in the last tree is: {} with ccp_alpha: {}".format(clfs_list[-1].tree_.node_count, ccp_alphas[-1]))
--------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) <ipython-input-84-fa07eab43527> in <module> 3 for ccp_alpha in ccp_alphas: 4 clf = DecisionTreeClassifier(random_state=1, ccp_alpha=ccp_alpha) ----> 5 clf.fit(X_train, y_train) 6 clfs_list.append(clf) 7 ~\anaconda3\lib\site-packages\sklearn\tree\_classes.py in fit(self, X, y, sample_weight, check_input, X_idx_sorted) 901 """ 902 --> 903 super().fit( 904 X, y, 905 sample_weight=sample_weight, ~\anaconda3\lib\site-packages\sklearn\tree\_classes.py in fit(self, X, y, sample_weight, check_input, X_idx_sorted) 392 min_impurity_split) 393 --> 394 builder.build(self.tree_, X, y, sample_weight) 395 396 if self.n_outputs_ == 1 and is_classifier(self): KeyboardInterrupt:
clfs_list = []
for ccp_alpha in ccp_alphas:
clf = DecisionTreeClassifier(random_state=1, ccp_alpha=ccp_alpha)
clf.fit(X_train, y_train)
clfs_list.append(clf)
print("Number of nodes in the last tree is: {} with ccp_alpha: {}".format(clfs_list[-1].tree_.node_count, ccp_alphas[-1]))
Text(66.5, 0.5, 'Truth')
#Fitting model for each value of alpha and saving the train recall in a list
recall_train=[]
for clf in clfs_list:
pred_train=clf.predict(X_train)
values_train=metrics.recall_score(y_train,pred_train)
recall_train.append(values_train)
array([[11054, 1328],
[ 1336, 13558]], dtype=int64)
#Fitting model for each value of alpha and saving the test recall in a list
recall_test=[]
for clf in clfs_list:
pred_test=clf.predict(X_test)
values_test=metrics.recall_score(y_test,pred_test)
recall_test.append(values_test)
DecisionTreeRegressor(random_state=1)
#Plotting the graph for Recall VS alpha
fig, ax = plt.subplots(figsize=(15,5))
ax.set_xlabel("alpha")
ax.set_ylabel("Recall")
ax.set_title("Recall vs alpha for training and testing sets")
ax.plot(ccp_alphas, recall_train, marker='o', label="train",
drawstyle="steps-post")
ax.plot(ccp_alphas, recall_test, marker='o', label="test",
drawstyle="steps-post")
ax.legend()
plt.show()
R-sqaure on training set : 1.0 R-square on test set : 0.6154508280200814 RMSE on training set : 0.0 RMSE on test set : 0.30874244072684376
#Creating the model where we get highest test recall
index_best_pruned_model = np.argmax(recall_test)
pruned_dtree_model = clfs_list[index_best_pruned_model]
get_metrics_score(pruned_dtree_model)
make_confusion_matrix(pruned_dtree_model,y_test)
Hyper parameter tuning
#Choose the type of classifier.
dtree_estimator = DecisionTreeClassifier(class_weight={0:0.18,1:0.72},random_state=1)
# Grid of parameters to choose from
parameters = {'max_depth': np.arange(2,30),
'min_samples_leaf': [1, 2, 5, 7, 10],
'max_leaf_nodes' : [2, 3, 5, 10,15],
'min_impurity_decrease': [0.0001,0.001,0.01,0.1]
}
# Type of scoring used to compare parameter combinations
scorer = metrics.make_scorer(metrics.recall_score)
# Run the grid search
grid_obj = GridSearchCV(dtree_estimator, parameters, scoring=scorer,n_jobs=-1)
grid_obj = grid_obj.fit(X_train, y_train)
# Set the clf to the best combination of parameters
dtree_estimator = grid_obj.best_estimator_
# Fit the best algorithm to the data.
dtree_estimator.fit(X_train, y_train)
--------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) <ipython-input-77-ae33b5b57a02> in <module> 14 # Run the grid search 15 grid_obj = GridSearchCV(dtree_tuned, parameters, scoring=scorer,cv=5) ---> 16 grid_obj = grid_obj.fit(X_train, y_train) 17 18 # Set the clf to the best combination of parameters ~\anaconda3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args, **kwargs) 61 extra_args = len(args) - len(all_args) 62 if extra_args <= 0: ---> 63 return f(*args, **kwargs) 64 65 # extra_args > 0 ~\anaconda3\lib\site-packages\sklearn\model_selection\_search.py in fit(self, X, y, groups, **fit_params) 839 return results 840 --> 841 self._run_search(evaluate_candidates) 842 843 # multimetric is determined here because in the case of a callable ~\anaconda3\lib\site-packages\sklearn\model_selection\_search.py in _run_search(self, evaluate_candidates) 1294 def _run_search(self, evaluate_candidates): 1295 """Search all candidates in param_grid""" -> 1296 evaluate_candidates(ParameterGrid(self.param_grid)) 1297 1298 ~\anaconda3\lib\site-packages\sklearn\model_selection\_search.py in evaluate_candidates(candidate_params, cv, more_results) 793 n_splits, n_candidates, n_candidates * n_splits)) 794 --> 795 out = parallel(delayed(_fit_and_score)(clone(base_estimator), 796 X, y, 797 train=train, test=test, ~\anaconda3\lib\site-packages\joblib\parallel.py in __call__(self, iterable) 1030 self._iterating = self._original_iterator is not None 1031 -> 1032 while self.dispatch_one_batch(iterator): 1033 pass 1034 ~\anaconda3\lib\site-packages\joblib\parallel.py in dispatch_one_batch(self, iterator) 845 return False 846 else: --> 847 self._dispatch(tasks) 848 return True 849 ~\anaconda3\lib\site-packages\joblib\parallel.py in _dispatch(self, batch) 763 with self._lock: 764 job_idx = len(self._jobs) --> 765 job = self._backend.apply_async(batch, callback=cb) 766 # A job can complete so quickly than its callback is 767 # called before we get here, causing self._jobs to ~\anaconda3\lib\site-packages\joblib\_parallel_backends.py in apply_async(self, func, callback) 206 def apply_async(self, func, callback=None): 207 """Schedule a func to be run""" --> 208 result = ImmediateResult(func) 209 if callback: 210 callback(result) ~\anaconda3\lib\site-packages\joblib\_parallel_backends.py in __init__(self, batch) 570 # Don't delay the application, to avoid keeping the input 571 # arguments in memory --> 572 self.results = batch() 573 574 def get(self): ~\anaconda3\lib\site-packages\joblib\parallel.py in __call__(self) 250 # change the default number of processes to -1 251 with parallel_backend(self._backend, n_jobs=self._n_jobs): --> 252 return [func(*args, **kwargs) 253 for func, args, kwargs in self.items] 254 ~\anaconda3\lib\site-packages\joblib\parallel.py in <listcomp>(.0) 250 # change the default number of processes to -1 251 with parallel_backend(self._backend, n_jobs=self._n_jobs): --> 252 return [func(*args, **kwargs) 253 for func, args, kwargs in self.items] 254 ~\anaconda3\lib\site-packages\sklearn\utils\fixes.py in __call__(self, *args, **kwargs) 220 def __call__(self, *args, **kwargs): 221 with config_context(**self.config): --> 222 return self.function(*args, **kwargs) ~\anaconda3\lib\site-packages\sklearn\model_selection\_validation.py in _fit_and_score(estimator, X, y, scorer, train, test, verbose, parameters, fit_params, return_train_score, return_parameters, return_n_test_samples, return_times, return_estimator, split_progress, candidate_progress, error_score) 588 start_time = time.time() 589 --> 590 X_train, y_train = _safe_split(estimator, X, y, train) 591 X_test, y_test = _safe_split(estimator, X, y, test, train) 592 ~\anaconda3\lib\site-packages\sklearn\utils\metaestimators.py in _safe_split(estimator, X, y, indices, train_indices) 197 198 """ --> 199 if _is_pairwise(estimator): 200 if not hasattr(X, "shape"): 201 raise ValueError("Precomputed kernels or affinity matrices have " ~\anaconda3\lib\site-packages\sklearn\base.py in _is_pairwise(estimator) 842 has_pairwise_attribute = hasattr(estimator, '_pairwise') 843 pairwise_attribute = getattr(estimator, '_pairwise', False) --> 844 pairwise_tag = _safe_tags(estimator, key="pairwise") 845 846 if has_pairwise_attribute: ~\anaconda3\lib\site-packages\sklearn\utils\_tags.py in _safe_tags(estimator, key) 50 if hasattr(estimator, "_get_tags"): 51 tags_provider = "_get_tags()" ---> 52 tags = estimator._get_tags() 53 elif hasattr(estimator, "_more_tags"): 54 tags_provider = "_more_tags()" ~\anaconda3\lib\site-packages\sklearn\base.py in _get_tags(self) 325 collected_tags = {} 326 for base_class in reversed(inspect.getmro(self.__class__)): --> 327 if hasattr(base_class, '_more_tags'): 328 # need the if because mixins might not have _more_tags 329 # but might do redundant work in estimators KeyboardInterrupt:
get_metrics_score(dtree_estimator)
make_confusion_matrix(dtree_estimator,y_test)
R-sqaure on training set : 0.8023254951133686 R-square on test set : 0.7499350818289602 RMSE on training set : 0.22128182531446441 RMSE on test set : 0.2489698611160051
# importance of features in the tree building ( The importance of a feature is computed as the
#(normalized) total reduction of the criterion brought by that feature. It is also known as the Gini importance )
print(pd.DataFrame(dtree_tuned.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))
Imp Inflight_entertainment 0.52 Seat_comfort 0.19 Gate_location 0.04 Class 0.04 Cleanliness 0.03 Checkin_service 0.03 Baggage_handling 0.03 Flight_Distance_log 0.02 Age 0.02 CustomerType_disloyal Customer 0.02 Leg_room_service 0.02 Inflightwifi_service 0.02 Onboard_service_excellent 0.01 ArrivalDelayin_Mins_log 0.01 DepartureDelayin_Mins_log 0.01 Food_drink_excellent 0.00 Onboard_service_poor 0.00
feature_names = X_train.columns
importances = d_tree.feature_importances_
indices = np.argsort(importances)
plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(indices)), importances[indices], color='violet', align='center')
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel('Relative Importance')
plt.show()
from sklearn import tree
plt.figure(figsize=(20,30))
tree.plot_tree(d_tree,feature_names=feature_names,filled=True,fontsize=9,node_ids=True,class_names=True)
plt.show()
# Text report showing the rules of a decision tree -
print(tree.export_text(d_tree,feature_names=feature_names,show_weights=True))
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-75-f45308ba84b3> in <module> 1 # Text report showing the rules of a decision tree - 2 ----> 3 print(tree.export_text(d_tree,feature_names=feature_names,show_weights=True)) ~\anaconda3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args, **kwargs) 61 extra_args = len(args) - len(all_args) 62 if extra_args <= 0: ---> 63 return f(*args, **kwargs) 64 65 # extra_args > 0 ~\anaconda3\lib\site-packages\sklearn\tree\_export.py in export_text(decision_tree, feature_names, max_depth, spacing, decimals, show_weights) 904 value_fmt = "{}{} value: {}\n" 905 --> 906 if feature_names: 907 feature_names_ = [feature_names[i] if i != _tree.TREE_UNDEFINED 908 else None for i in tree_.feature] ~\anaconda3\lib\site-packages\pandas\core\indexes\base.py in __nonzero__(self) 2147 2148 def __nonzero__(self): -> 2149 raise ValueError( 2150 f"The truth value of a {type(self).__name__} is ambiguous. " 2151 "Use a.empty, a.bool(), a.item(), a.any() or a.all()." ValueError: The truth value of a Index is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
#AUC ROC curve
from sklearn.metrics import roc_auc_score
from sklearn.metrics import roc_curve
logit_roc_auc = roc_auc_score(y_test, d_tree.predict_proba(X_test)[:,1])
fpr, tpr, thresholds = roc_curve(y_test, d_tree.predict_proba(X_test)[:,1])
plt.figure(figsize=(13,8))
plt.plot(fpr, tpr, label='Decision tree (area = %0.2f)' % logit_roc_auc)
plt.plot([0, 1], [0, 1],'r--')
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel('False Positive Rate')
plt.ylabel('True Positive Rate')
plt.title('Receiver operating characteristic')
plt.legend(loc="lower right")
plt.savefig('Log_ROC')
plt.show()
Random Forest
#Fitting the model
rf_estimator = RandomForestClassifier(random_state=1)
rf_estimator.fit(X_train,y_train)
#Calculating different metrics
get_metrics_score(rf_estimator)
#Creating confusion matrix
make_confusion_matrix(rf_estimator,y_test)
<ipython-input-45-adac65675d7c>:3: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel(). rf_estimator.fit(X_train,y_train)
Accuracy on training set : 1.0 Accuracy on test set : 0.9351077870655521 Recall on training set : 1.0 Recall on test set : 0.9342016919564925 Precision on training set : 1.0 Precision on test set : 0.9462731229597389
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-73-d210d0b6a6c0> in <module> ----> 1 print(rf_estimator.summary()) AttributeError: 'RandomForestClassifier' object has no attribute 'summary'
# Let's check accuracy and recall for this model
from sklearn.metrics import accuracy_score, recall_score, precision_score, f1_score
rf_pred_train = rf_estimator.predict(X_train)
rf_pred_test = rf_estimator.predict(X_test)
rf_pred_train1 = np.round(rf_pred_train)
rf_pred_test1 = np.round(rf_pred_test)
#AUC ROC curve
from sklearn.metrics import roc_auc_score
from sklearn.metrics import roc_curve
logit_roc_auc = roc_auc_score(y_test, rf_estimator.predict(X_test))
fpr, tpr, thresholds = roc_curve(y_test, rf_estimator.predict(X_test))
plt.figure(figsize=(13,8))
plt.plot(fpr, tpr, label='Random Forest(area = %0.2f)' % logit_roc_auc)
plt.plot([0, 1], [0, 1],'r--')
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel('False Positive Rate')
plt.ylabel('True Positive Rate')
plt.title('Receiver operating characteristic')
plt.legend(loc="lower right")
plt.savefig('rf_ROC')
plt.show()
Hyper parameter
# Choose the type of classifier.
rf_tuned = RandomForestClassifier(class_weight={0:0.18,1:0.82},random_state=1,oob_score=True,bootstrap=True)
parameters = {
'max_depth': list(np.arange(5,30,5)) + [None],
'max_features': ['sqrt','log2',None],
'min_samples_leaf': np.arange(1,15,5),
'min_samples_split': np.arange(2, 20, 5),
'n_estimators': np.arange(10,110,10)}
# Run the grid search
grid_obj = GridSearchCV(rf_tuned, parameters, scoring='recall',cv=5,n_jobs=-1)
grid_obj = grid_obj.fit(X_train, y_train)
# Set the clf to the best combination of parameters
rf_tuned = grid_obj.best_estimator_
# Fit the best algorithm to the data.
rf_tuned.fit(X_train, y_train)
--------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) <ipython-input-40-8a06a5149b09> in <module> 12 # Run the grid search 13 grid_obj = GridSearchCV(rf_tuned, parameters, scoring='recall',cv=5,n_jobs=-1) ---> 14 grid_obj = grid_obj.fit(X_train, y_train) 15 16 # Set the clf to the best combination of parameters ~\anaconda3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args, **kwargs) 61 extra_args = len(args) - len(all_args) 62 if extra_args <= 0: ---> 63 return f(*args, **kwargs) 64 65 # extra_args > 0 ~\anaconda3\lib\site-packages\sklearn\model_selection\_search.py in fit(self, X, y, groups, **fit_params) 839 return results 840 --> 841 self._run_search(evaluate_candidates) 842 843 # multimetric is determined here because in the case of a callable ~\anaconda3\lib\site-packages\sklearn\model_selection\_search.py in _run_search(self, evaluate_candidates) 1294 def _run_search(self, evaluate_candidates): 1295 """Search all candidates in param_grid""" -> 1296 evaluate_candidates(ParameterGrid(self.param_grid)) 1297 1298 ~\anaconda3\lib\site-packages\sklearn\model_selection\_search.py in evaluate_candidates(candidate_params, cv, more_results) 793 n_splits, n_candidates, n_candidates * n_splits)) 794 --> 795 out = parallel(delayed(_fit_and_score)(clone(base_estimator), 796 X, y, 797 train=train, test=test, ~\anaconda3\lib\site-packages\joblib\parallel.py in __call__(self, iterable) 1040 1041 with self._backend.retrieval_context(): -> 1042 self.retrieve() 1043 # Make sure that we get a last message telling us we are done 1044 elapsed_time = time.time() - self._start_time ~\anaconda3\lib\site-packages\joblib\parallel.py in retrieve(self) 919 try: 920 if getattr(self._backend, 'supports_timeout', False): --> 921 self._output.extend(job.get(timeout=self.timeout)) 922 else: 923 self._output.extend(job.get()) ~\anaconda3\lib\site-packages\joblib\_parallel_backends.py in wrap_future_result(future, timeout) 540 AsyncResults.get from multiprocessing.""" 541 try: --> 542 return future.result(timeout=timeout) 543 except CfTimeoutError as e: 544 raise TimeoutError from e ~\anaconda3\lib\concurrent\futures\_base.py in result(self, timeout) 432 return self.__get_result() 433 --> 434 self._condition.wait(timeout) 435 436 if self._state in [CANCELLED, CANCELLED_AND_NOTIFIED]: ~\anaconda3\lib\threading.py in wait(self, timeout) 300 try: # restore state no matter what (e.g., KeyboardInterrupt) 301 if timeout is None: --> 302 waiter.acquire() 303 gotit = True 304 else: KeyboardInterrupt:
#Calculating different metrics
get_metrics_score(rf_tuned)
#Creating confusion matrix
make_confusion_matrix(rf_tuned,y_test)
R-sqaure on training set : 0.9718165595886186 R-square on test set : 0.7988029488230586 RMSE on training set : 0.0835540333149128 RMSE on test set : 0.22332184051125128
# importance of features in the tree building ( The importance of a feature is computed as the
#(normalized) total reduction of the criterion brought by that feature. It is also known as the Gini importance )
print(pd.DataFrame(rf_estimator.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))
Imp Inflight_entertainment 0.242391 Seat_comfort 0.163671 Class 0.069499 Flight_Distance_log 0.069405 Age 0.057868 Leg_room_service 0.057200 Gate_location 0.047615 Checkin_service 0.045236 Baggage_handling 0.041232 CustomerType_disloyal Customer 0.040654 Cleanliness 0.039873 Inflightwifi_service 0.034481 ArrivalDelayin_Mins_log 0.026031 DepartureDelayin_Mins_log 0.023925 Onboard_service_excellent 0.018560 Food_drink_excellent 0.015585 Onboard_service_poor 0.006774
feature_names = X_train.columns
importances = rf_estimator.feature_importances_
indices_rf = np.argsort(importances)
plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(indices_rf)), importances[indices_rf], color='violet', align='center')
plt.yticks(range(len(indices_rf)), [feature_names[i] for i in indices_rf])
plt.xlabel('Relative Importance')
plt.show()
Gradient Boosting Classifier
#Fitting the model
bagging_classifier = BaggingClassifier(random_state=1)
bagging_classifier.fit(X_train,y_train)
#Calculating different metrics
get_metrics_score(bagging_classifier)
#Creating confusion matrix
make_confusion_matrix(bagging_classifier,y_test)
C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs)
Accuracy on training set : 0.9949246554893858 Accuracy on test set : 0.9240357823727819 Recall on training set : 0.9927151748071242 Recall on test set : 0.9122465422317712 Precision on training set : 0.9980104953578225 Precision on test set : 0.9466973244147158
ab_feature_names = X_train.columns
ab_importances =ab_classifier.feature_importances_
ab_indices = np.argsort(ab_importances)
plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(ab_indices)), ab_importances[ab_indices], color='violet', align='center')
plt.yticks(range(len(ab_indices)), [ab_feature_names[i] for i in ab_indices])
plt.xlabel('Relative Importance')
plt.show()
# Choose the type of classifier.
bagging_estimator_tuned = BaggingClassifier(random_state=1)
# Grid of parameters to choose from
parameters = {'max_samples': [0.7,0.8,0.9,1],
'max_features': [0.7,0.8,0.9,1],
'n_estimators' : [10,20,30,40,50],
}
# Type of scoring used to compare parameter combinations
acc_scorer = metrics.make_scorer(metrics.recall_score)
# Run the grid search
grid_obj = GridSearchCV(bagging_estimator_tuned, parameters, scoring=acc_scorer,cv=5)
grid_obj = grid_obj.fit(X_train, y_train)
# Set the clf to the best combination of parameters
bagging_estimator_tuned = grid_obj.best_estimator_
# Fit the best algorithm to the data.
bagging_estimator_tuned.fit(X_train, y_train)
C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs)
--------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) <ipython-input-71-7e71494b21e6> in <module> 14 # Run the grid search 15 grid_obj = GridSearchCV(gbc_tuned, parameters, scoring=acc_scorer,cv=5) ---> 16 grid_obj = grid_obj.fit(X_train, y_train) 17 18 # Set the clf to the best combination of parameters ~\anaconda3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args, **kwargs) 61 extra_args = len(args) - len(all_args) 62 if extra_args <= 0: ---> 63 return f(*args, **kwargs) 64 65 # extra_args > 0 ~\anaconda3\lib\site-packages\sklearn\model_selection\_search.py in fit(self, X, y, groups, **fit_params) 839 return results 840 --> 841 self._run_search(evaluate_candidates) 842 843 # multimetric is determined here because in the case of a callable ~\anaconda3\lib\site-packages\sklearn\model_selection\_search.py in _run_search(self, evaluate_candidates) 1294 def _run_search(self, evaluate_candidates): 1295 """Search all candidates in param_grid""" -> 1296 evaluate_candidates(ParameterGrid(self.param_grid)) 1297 1298 ~\anaconda3\lib\site-packages\sklearn\model_selection\_search.py in evaluate_candidates(candidate_params, cv, more_results) 793 n_splits, n_candidates, n_candidates * n_splits)) 794 --> 795 out = parallel(delayed(_fit_and_score)(clone(base_estimator), 796 X, y, 797 train=train, test=test, ~\anaconda3\lib\site-packages\joblib\parallel.py in __call__(self, iterable) 1030 self._iterating = self._original_iterator is not None 1031 -> 1032 while self.dispatch_one_batch(iterator): 1033 pass 1034 ~\anaconda3\lib\site-packages\joblib\parallel.py in dispatch_one_batch(self, iterator) 845 return False 846 else: --> 847 self._dispatch(tasks) 848 return True 849 ~\anaconda3\lib\site-packages\joblib\parallel.py in _dispatch(self, batch) 763 with self._lock: 764 job_idx = len(self._jobs) --> 765 job = self._backend.apply_async(batch, callback=cb) 766 # A job can complete so quickly than its callback is 767 # called before we get here, causing self._jobs to ~\anaconda3\lib\site-packages\joblib\_parallel_backends.py in apply_async(self, func, callback) 206 def apply_async(self, func, callback=None): 207 """Schedule a func to be run""" --> 208 result = ImmediateResult(func) 209 if callback: 210 callback(result) ~\anaconda3\lib\site-packages\joblib\_parallel_backends.py in __init__(self, batch) 570 # Don't delay the application, to avoid keeping the input 571 # arguments in memory --> 572 self.results = batch() 573 574 def get(self): ~\anaconda3\lib\site-packages\joblib\parallel.py in __call__(self) 250 # change the default number of processes to -1 251 with parallel_backend(self._backend, n_jobs=self._n_jobs): --> 252 return [func(*args, **kwargs) 253 for func, args, kwargs in self.items] 254 ~\anaconda3\lib\site-packages\joblib\parallel.py in <listcomp>(.0) 250 # change the default number of processes to -1 251 with parallel_backend(self._backend, n_jobs=self._n_jobs): --> 252 return [func(*args, **kwargs) 253 for func, args, kwargs in self.items] 254 ~\anaconda3\lib\site-packages\sklearn\utils\fixes.py in __call__(self, *args, **kwargs) 220 def __call__(self, *args, **kwargs): 221 with config_context(**self.config): --> 222 return self.function(*args, **kwargs) ~\anaconda3\lib\site-packages\sklearn\model_selection\_validation.py in _fit_and_score(estimator, X, y, scorer, train, test, verbose, parameters, fit_params, return_train_score, return_parameters, return_n_test_samples, return_times, return_estimator, split_progress, candidate_progress, error_score) 596 estimator.fit(X_train, **fit_params) 597 else: --> 598 estimator.fit(X_train, y_train, **fit_params) 599 600 except Exception as e: ~\anaconda3\lib\site-packages\sklearn\ensemble\_gb.py in fit(self, X, y, sample_weight, monitor) 459 # XXX clean this once we have a support_sample_weight tag 460 if sample_weight_is_none: --> 461 self.init_.fit(X, y) 462 else: 463 msg = ("The initial estimator {} does not support sample " ~\anaconda3\lib\site-packages\sklearn\ensemble\_weight_boosting.py in fit(self, X, y, sample_weight) 441 442 # Fit --> 443 return super().fit(X, y, sample_weight) 444 445 def _validate_estimator(self): ~\anaconda3\lib\site-packages\sklearn\ensemble\_weight_boosting.py in fit(self, X, y, sample_weight) 128 for iboost in range(self.n_estimators): 129 # Boosting step --> 130 sample_weight, estimator_weight, estimator_error = self._boost( 131 iboost, 132 X, y, ~\anaconda3\lib\site-packages\sklearn\ensemble\_weight_boosting.py in _boost(self, iboost, X, y, sample_weight, random_state) 501 """ 502 if self.algorithm == 'SAMME.R': --> 503 return self._boost_real(iboost, X, y, sample_weight, random_state) 504 505 else: # elif self.algorithm == "SAMME": ~\anaconda3\lib\site-packages\sklearn\ensemble\_weight_boosting.py in _boost_real(self, iboost, X, y, sample_weight, random_state) 554 estimator_weight = (-1. * self.learning_rate 555 * ((n_classes - 1.) / n_classes) --> 556 * xlogy(y_coding, y_predict_proba).sum(axis=1)) 557 558 # Only boost the weights if it will fit again KeyboardInterrupt:
#Calculating different metrics
get_metrics_score(bagging_estimator_tuned)
#Creating confusion matrix
make_confusion_matrix(bagging_estimator_tuned,y_test)
# importance of features in the tree building ( The importance of a feature is computed as the
#(normalized) total reduction of the criterion brought by that feature. It is also known as the Gini importance )
print(pd.DataFrame(bagging_classifier.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-85-84a56a8079a5> in <module> 2 #(normalized) total reduction of the criterion brought by that feature. It is also known as the Gini importance ) 3 ----> 4 print(pd.DataFrame(bagging_classifier.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False)) AttributeError: 'BaggingClassifier' object has no attribute 'feature_importances_'
Adaboosting
#Fitting the model
ab_classifier = AdaBoostClassifier(random_state=1)
ab_classifier.fit(X_train,y_train)
#Calculating different metrics
get_metrics_score(ab_classifier)
#Creating confusion matrix
make_confusion_matrix(ab_classifier,y_test)
C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs)
Accuracy on training set : 0.8780974528998602 Accuracy on test set : 0.8764481595541869 Recall on training set : 0.8876301373791837 Recall on test set : 0.8863300657983081 Precision on training set : 0.8896202822731323 Precision on test set : 0.8872832369942196
ab_feature_names = X_train.columns
ab_importances =ab_classifier.feature_importances_
ab_indices = np.argsort(ab_importances)
plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(ab_indices)), ab_importances[ab_indices], color='violet', align='center')
plt.yticks(range(len(ab_indices)), [ab_feature_names[i] for i in ab_indices])
plt.xlabel('Relative Importance')
plt.show()
# Choose the type of classifier.
abc_tuned = AdaBoostClassifier(random_state=1)
# Grid of parameters to choose from
parameters = {
#Let's try different max_depth for base_estimator
"base_estimator":[DecisionTreeClassifier(max_depth=1),DecisionTreeClassifier(max_depth=2),
DecisionTreeClassifier(max_depth=3)],
"n_estimators": np.arange(10,110,10),
"learning_rate":np.arange(0.1,2,0.1)
}
# Type of scoring used to compare parameter combinations
acc_scorer = metrics.make_scorer(metrics.recall_score)
# Run the grid search
grid_obj = GridSearchCV(abc_tuned, parameters, scoring=acc_scorer,cv=5)
grid_obj = grid_obj.fit(X_train, y_train)
# Set the clf to the best combination of parameters
abc_tuned = grid_obj.best_estimator_
# Fit the best algorithm to the data.
abc_tuned.fit(X_train, y_train)
C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs)
--------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) <ipython-input-68-488ae536a16c> in <module> 16 # Run the grid search 17 grid_obj = GridSearchCV(abc_tuned, parameters, scoring=acc_scorer,cv=5) ---> 18 grid_obj = grid_obj.fit(X_train, y_train) 19 20 # Set the clf to the best combination of parameters ~\anaconda3\lib\site-packages\sklearn\utils\validation.py in inner_f(*args, **kwargs) 61 extra_args = len(args) - len(all_args) 62 if extra_args <= 0: ---> 63 return f(*args, **kwargs) 64 65 # extra_args > 0 ~\anaconda3\lib\site-packages\sklearn\model_selection\_search.py in fit(self, X, y, groups, **fit_params) 839 return results 840 --> 841 self._run_search(evaluate_candidates) 842 843 # multimetric is determined here because in the case of a callable ~\anaconda3\lib\site-packages\sklearn\model_selection\_search.py in _run_search(self, evaluate_candidates) 1294 def _run_search(self, evaluate_candidates): 1295 """Search all candidates in param_grid""" -> 1296 evaluate_candidates(ParameterGrid(self.param_grid)) 1297 1298 ~\anaconda3\lib\site-packages\sklearn\model_selection\_search.py in evaluate_candidates(candidate_params, cv, more_results) 793 n_splits, n_candidates, n_candidates * n_splits)) 794 --> 795 out = parallel(delayed(_fit_and_score)(clone(base_estimator), 796 X, y, 797 train=train, test=test, ~\anaconda3\lib\site-packages\joblib\parallel.py in __call__(self, iterable) 1030 self._iterating = self._original_iterator is not None 1031 -> 1032 while self.dispatch_one_batch(iterator): 1033 pass 1034 ~\anaconda3\lib\site-packages\joblib\parallel.py in dispatch_one_batch(self, iterator) 845 return False 846 else: --> 847 self._dispatch(tasks) 848 return True 849 ~\anaconda3\lib\site-packages\joblib\parallel.py in _dispatch(self, batch) 763 with self._lock: 764 job_idx = len(self._jobs) --> 765 job = self._backend.apply_async(batch, callback=cb) 766 # A job can complete so quickly than its callback is 767 # called before we get here, causing self._jobs to ~\anaconda3\lib\site-packages\joblib\_parallel_backends.py in apply_async(self, func, callback) 206 def apply_async(self, func, callback=None): 207 """Schedule a func to be run""" --> 208 result = ImmediateResult(func) 209 if callback: 210 callback(result) ~\anaconda3\lib\site-packages\joblib\_parallel_backends.py in __init__(self, batch) 570 # Don't delay the application, to avoid keeping the input 571 # arguments in memory --> 572 self.results = batch() 573 574 def get(self): ~\anaconda3\lib\site-packages\joblib\parallel.py in __call__(self) 250 # change the default number of processes to -1 251 with parallel_backend(self._backend, n_jobs=self._n_jobs): --> 252 return [func(*args, **kwargs) 253 for func, args, kwargs in self.items] 254 ~\anaconda3\lib\site-packages\joblib\parallel.py in <listcomp>(.0) 250 # change the default number of processes to -1 251 with parallel_backend(self._backend, n_jobs=self._n_jobs): --> 252 return [func(*args, **kwargs) 253 for func, args, kwargs in self.items] 254 ~\anaconda3\lib\site-packages\sklearn\utils\fixes.py in __call__(self, *args, **kwargs) 220 def __call__(self, *args, **kwargs): 221 with config_context(**self.config): --> 222 return self.function(*args, **kwargs) ~\anaconda3\lib\site-packages\sklearn\model_selection\_validation.py in _fit_and_score(estimator, X, y, scorer, train, test, verbose, parameters, fit_params, return_train_score, return_parameters, return_n_test_samples, return_times, return_estimator, split_progress, candidate_progress, error_score) 596 estimator.fit(X_train, **fit_params) 597 else: --> 598 estimator.fit(X_train, y_train, **fit_params) 599 600 except Exception as e: ~\anaconda3\lib\site-packages\sklearn\ensemble\_weight_boosting.py in fit(self, X, y, sample_weight) 441 442 # Fit --> 443 return super().fit(X, y, sample_weight) 444 445 def _validate_estimator(self): ~\anaconda3\lib\site-packages\sklearn\ensemble\_weight_boosting.py in fit(self, X, y, sample_weight) 128 for iboost in range(self.n_estimators): 129 # Boosting step --> 130 sample_weight, estimator_weight, estimator_error = self._boost( 131 iboost, 132 X, y, ~\anaconda3\lib\site-packages\sklearn\ensemble\_weight_boosting.py in _boost(self, iboost, X, y, sample_weight, random_state) 501 """ 502 if self.algorithm == 'SAMME.R': --> 503 return self._boost_real(iboost, X, y, sample_weight, random_state) 504 505 else: # elif self.algorithm == "SAMME": ~\anaconda3\lib\site-packages\sklearn\ensemble\_weight_boosting.py in _boost_real(self, iboost, X, y, sample_weight, random_state) 511 estimator = self._make_estimator(random_state=random_state) 512 --> 513 estimator.fit(X, y, sample_weight=sample_weight) 514 515 y_predict_proba = estimator.predict_proba(X) ~\anaconda3\lib\site-packages\sklearn\tree\_classes.py in fit(self, X, y, sample_weight, check_input, X_idx_sorted) 901 """ 902 --> 903 super().fit( 904 X, y, 905 sample_weight=sample_weight, ~\anaconda3\lib\site-packages\sklearn\tree\_classes.py in fit(self, X, y, sample_weight, check_input, X_idx_sorted) 392 min_impurity_split) 393 --> 394 builder.build(self.tree_, X, y, sample_weight) 395 396 if self.n_outputs_ == 1 and is_classifier(self): KeyboardInterrupt:
#Calculating different metrics
get_metrics_score(abc_tuned)
#Creating confusion matrix
make_confusion_matrix(abc_tuned,y_test)
Gradient Boosting
#Fitting the model
gb_classifier = GradientBoostingClassifier(random_state=1)
gb_classifier.fit(X_train,y_train)
#Calculating different metrics
get_metrics_score(gb_classifier)
#Creating confusion matrix
make_confusion_matrix(gb_classifier,y_test)
C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs)
Accuracy on training set : 0.9052183340928018 Accuracy on test set : 0.9034682504766095 Recall on training set : 0.9226202426363037 Recall on test set : 0.920303477910568 Precision on training set : 0.90609244289215 Precision on test set : 0.9045733518115224
gb_feature_names = X_train.columns
gb_importances =gb_classifier.feature_importances_
gb_indices = np.argsort(gb_importances)
plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(gb_indices)), gb_importances[gb_indices], color='violet', align='center')
plt.yticks(range(len(gb_indices)), [gb_feature_names[i] for i in gb_indices])
plt.xlabel('Relative Importance')
plt.show()
# Choose the type of classifier.
gbc_tuned = GradientBoostingClassifier(init=AdaBoostClassifier(random_state=1),random_state=1)
# Grid of parameters to choose from
parameters = {
"n_estimators": [100,150,200,250],
"subsample":[0.8,0.9,1],
"max_features":[0.7,0.8,0.9,1]
}
# Type of scoring used to compare parameter combinations
acc_scorer = metrics.make_scorer(metrics.recall_score)
# Run the grid search
grid_obj = GridSearchCV(gbc_tuned, parameters, scoring=acc_scorer,cv=5)
grid_obj = grid_obj.fit(X_train, y_train)
# Set the clf to the best combination of parameters
gbc_tuned = grid_obj.best_estimator_
# Fit the best algorithm to the data.
gbc_tuned.fit(X_train, y_train)
#Calculating different metrics
get_metrics_score(gbc_tuned)
#Creating confusion matrix
make_confusion_matrix(gbc_tuned,y_test)
Xgboost
#Fitting the model
xgb_classifier = XGBClassifier(random_state=1)
xgb_classifier.fit(X_train,y_train)
#Calculating different metrics
get_metrics_score(xgb_classifier)
#Creating confusion matrix
make_confusion_matrix(xgb_classifier,y_test)
C:\Users\Osilade\anaconda3\lib\site-packages\xgboost\sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. warnings.warn(label_encoder_deprecation_msg, UserWarning) C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs)
[21:29:31] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.4.0/src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior. Accuracy on training set : 0.9582501846294056 Accuracy on test set : 0.9365009532189471 Recall on training set : 0.9592164510855536 Recall on test set : 0.9379615952732644 Precision on training set : 0.9643886966551326 Precision on test set : 0.9453241304642035
xgb_feature_names = X_train.columns
xgb_importances =xgb_classifier.feature_importances_
xgb_indices = np.argsort(xgb_importances)
plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(xgb_indices)), xgb_importances[xgb_indices], color='violet', align='center')
plt.yticks(range(len(xgb_indices)), [xgb_feature_names[i] for i in xgb_indices])
plt.xlabel('Relative Importance')
plt.show()
# Choose the type of classifier.
xgb_tuned = XGBClassifier(random_state=1)
# Grid of parameters to choose from
parameters = {
"n_estimators": np.arange(10,100,20),
"scale_pos_weight":[0,1,2,5],
"subsample":[0.5,0.7,0.9,1],
"learning_rate":[0.01,0.1,0.2,0.05],
"gamma":[0,1,3],
"colsample_bytree":[0.5,0.7,0.9,1],
"colsample_bylevel":[0.5,0.7,0.9,1]
}
# Type of scoring used to compare parameter combinations
acc_scorer = metrics.make_scorer(metrics.recall_score)
# Run the grid search
grid_obj = GridSearchCV(xgb_tuned, parameters,scoring=acc_scorer,cv=5)
grid_obj = grid_obj.fit(X_train, y_train)
# Set the clf to the best combination of parameters
xgb_tuned = grid_obj.best_estimator_
# Fit the best algorithm to the data.
xgb_tuned.fit(X_train, y_train)
#Calculating different metrics
get_metrics_score(xgb_tuned)
#Creating confusion matrix
make_confusion_matrix(xgb_tuned,y_test)
Stacking Classifier
estimators = [('Random Forest',rf_estimator), ('Gradient Boosting',xgb_classifier), ('Decision Tree',d_tree),('ada boost',ab_classifier )]
final_estimator = xgb_classifier
stacking_classifier= StackingClassifier(estimators=estimators,final_estimator=final_estimator)
stacking_classifier.fit(X_train,y_train)
C:\Users\Osilade\anaconda3\lib\site-packages\sklearn\utils\validation.py:63: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel(). return f(*args, **kwargs) C:\Users\Osilade\anaconda3\lib\site-packages\xgboost\sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. warnings.warn(label_encoder_deprecation_msg, UserWarning)
[21:32:06] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.4.0/src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
C:\Users\Osilade\anaconda3\lib\site-packages\xgboost\sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. warnings.warn(label_encoder_deprecation_msg, UserWarning)
[21:36:37] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.4.0/src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
C:\Users\Osilade\anaconda3\lib\site-packages\xgboost\sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. warnings.warn(label_encoder_deprecation_msg, UserWarning)
[21:37:09] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.4.0/src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
C:\Users\Osilade\anaconda3\lib\site-packages\xgboost\sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. warnings.warn(label_encoder_deprecation_msg, UserWarning)
[21:37:38] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.4.0/src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
C:\Users\Osilade\anaconda3\lib\site-packages\xgboost\sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. warnings.warn(label_encoder_deprecation_msg, UserWarning)
[21:38:09] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.4.0/src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
C:\Users\Osilade\anaconda3\lib\site-packages\xgboost\sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. warnings.warn(label_encoder_deprecation_msg, UserWarning)
[21:38:36] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.4.0/src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
C:\Users\Osilade\anaconda3\lib\site-packages\xgboost\sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. warnings.warn(label_encoder_deprecation_msg, UserWarning)
[21:40:19] WARNING: C:/Users/Administrator/workspace/xgboost-win64_release_1.4.0/src/learner.cc:1095: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.
StackingClassifier(estimators=[('Random Forest',
RandomForestClassifier(random_state=1)),
('Gradient Boosting',
XGBClassifier(base_score=0.5, booster='gbtree',
colsample_bylevel=1,
colsample_bynode=1,
colsample_bytree=1, gamma=0,
gpu_id=-1, importance_type='gain',
interaction_constraints='',
learning_rate=0.300000012,
max_delta_step=0, max_depth=6,
min_child_weight...
colsample_bytree=1, gamma=0,
gpu_id=-1,
importance_type='gain',
interaction_constraints='',
learning_rate=0.300000012,
max_delta_step=0, max_depth=6,
min_child_weight=1,
missing=nan,
monotone_constraints='()',
n_estimators=100, n_jobs=2,
num_parallel_tree=1,
random_state=1, reg_alpha=0,
reg_lambda=1,
scale_pos_weight=1,
subsample=1,
tree_method='exact',
validate_parameters=1,
verbosity=None))
#Calculating different metrics
get_metrics_score(stacking_classifier)
#Creating confusion matrix
make_confusion_matrix(stacking_classifier,y_test)
Accuracy on training set : 0.983139799814585 Accuracy on test set : 0.9373075230972283 Recall on training set : 0.9800097513408094 Recall on test set : 0.9306432120316906 Precision on training set : 0.9891159613269264 Precision on test set : 0.9534323840968496
sk_feature_names = X_train.columns
sk_importances =sk_classifier.feature_importances_
sk_indices = np.argsort(sk_importances)
plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(sk_indices)), sk_importances[xgb_indices], color='violet', align='center')
plt.yticks(range(len(sk_indices)), [sk_feature_names[i] for i in xgb_indices])
plt.xlabel('Relative Importance')
plt.show()
--------------------------------------------------------------------------- NameError Traceback (most recent call last) <ipython-input-76-107f7ead1924> in <module> 1 sk_feature_names = X_train.columns ----> 2 sk_importances =sk_classifier.feature_importances_ 3 sk_indices = np.argsort(sk_importances) 4 5 plt.figure(figsize=(12,12)) NameError: name 'sk_classifier' is not defined
Model Comparison
# defining list of models
models = [d_tree,rf_estimator, bagging_classifier,ab_classifier,
gb_classifier, xgb_classifier,stacking_classifier]
# defining empty lists to add train and test results
acc_train = []
acc_test = []
recall_train = []
recall_test = []
precision_train = []
precision_test = []
# looping through all the models to get the metrics score - Accuracy, Recall and Precision
for model in models:
j = get_metrics_score(model,False)
acc_train.append(j[0])
acc_test.append(j[1])
recall_train.append(j[2])
recall_test.append(j[3])
precision_train.append(j[4])
precision_test.append(j[5])
comparison_frame = pd.DataFrame({'Model':['d_tree','rf_estimator',
'bagging_classifier','ab_classifier',
'gb_classifier',
'xgb_classifier', 'stacking_classifier']
Train_Accuracy': acc_train,'Test_Accuracy': acc_test,
'Train_Recall':recall_train,'Test_Recall':recall_test,
'Train_Precision':precision_train,'Test_Precision':precision_test})
#Sorting models in decreasing order of test recall
comparison_frame.sort_values(by='Test_Recall',ascending=False)
File "<ipython-input-61-d4d6f1c8e77c>", line 5 Train_Accuracy': acc_train,'Test_Accuracy': acc_test, ^ SyntaxError: invalid syntax
comparison_frame = pd.DataFrame({'Model':['Decision Tree','Random Forest',
'Bagging Classifier','AdaBoost Classifier',
'Gradient Boosting Classifier',
'XGBoost Classifier', 'Stacking Classifier'],
'Train_Accuracy': acc_train,'Test_Accuracy': acc_test,
'Train_Recall':recall_train,'Test_Recall':recall_test,
'Train_Precision':precision_train,'Test_Precision':precision_test})
#Sorting models in decreasing order of test recall
comparison_frame.sort_values(by='Test_Recall',ascending=False)
| Model | Train_Accuracy | Test_Accuracy | Train_Recall | Test_Recall | Train_Precision | Test_Precision | |
|---|---|---|---|---|---|---|---|
| 5 | XGBoost Classifier | 0.958250 | 0.936501 | 0.959216 | 0.937962 | 0.964389 | 0.945324 |
| 1 | Random Forest | 1.000000 | 0.935108 | 1.000000 | 0.934202 | 1.000000 | 0.946273 |
| 6 | Stacking Classifier | 0.987037 | 0.938297 | 0.987352 | 0.932657 | 0.988969 | 0.953332 |
| 4 | Gradient Boosting Classifier | 0.905218 | 0.903468 | 0.922620 | 0.920303 | 0.906092 | 0.904573 |
| 2 | Bagging Classifier | 0.994925 | 0.924036 | 0.992715 | 0.912247 | 0.998010 | 0.946697 |
| 0 | Decision Tree | 1.000000 | 0.902332 | 1.000000 | 0.910299 | 1.000000 | 0.910789 |
| 3 | AdaBoost Classifier | 0.878097 | 0.876448 | 0.887630 | 0.886330 | 0.889620 | 0.887283 |